| department of energy computational science graduate fellowship: The Grants Register 2025 Palgrave Macmillan, |
| department of energy computational science graduate fellowship: The Grants Register 2016 Palgrave Macmillan Ltd, 2016-12-27 The most comprehensive guide on postgraduate grants and professional funding globally. For thirty-four years it has been the leading source for up-to-date information on the availability of, and eligibility for, postgraduate and professional awards. Each entry is verified by its awarding body and all information is updated annually. |
| department of energy computational science graduate fellowship: Department of Energy High-Performance Computing Act of 1991 United States. Congress. Senate. Committee on Energy and Natural Resources, 1991 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2015 United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2014 |
| department of energy computational science graduate fellowship: The Fiscal Year 2016 Budget Request for the U.S. Department of Energy United States. Congress. Senate. Committee on Energy and Natural Resources, 2015 |
| department of energy computational science graduate fellowship: The Grants Register 2024 Palgrave Macmillan, 2023-09-23 The Grants Register 2024 is the most authoritative and comprehensive guide available of postgraduate and professional funding worldwide. It contains international coverage of grants in almost 60 countries, both English and non-English speaking; information on subject areas, level of study, eligibility and value of awards; and information on over 6,000 awards provided by over 1,300 awarding bodies. Awarding bodies are arranged alphabetically with a full list of awards to allow for comprehensive reading. The Register contains full contact details including telephone, fax, email and websites as well as details of application procedures and closing dates. It is updated annually to ensure accurate information. |
| department of energy computational science graduate fellowship: DOE this Month , 1994 |
| department of energy computational science graduate fellowship: High Performance Computing for Computational Science - VECPAR 2012 Michel Dayde, Osni Marques, Kengo Nakajima, 2013-05-24 This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on High Performance Computing for Computational Science, VECPAR 2012, held in Kope, Japan, in July 2012. The 28 papers presented together with 7 invited talks were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on CPU computing, applications, finite element method from various viewpoints, cloud and visualization performance, method and tools for advanced scientific computing, algorithms and data analysis, parallel iterative solvers on multicore architectures. |
| department of energy computational science graduate fellowship: U.S. Department of Energy Performance and Accountability Report: FY 2001 , |
| department of energy computational science graduate fellowship: The Grants Register 2023 Palgrave Macmillan, 2022-09-28 The Grants Register 2023 is the most authoritative and comprehensive guide available of postgraduate and professional funding worldwide. It contains international coverage of grants in almost 60 countries, both English and non-English speaking; information on subject areas, level of study, eligibility and value of awards; and information on over 6,000 awards provided by over 1,300 awarding bodies. Awarding bodies are arranged alphabetically with a full list of awards to allow for comprehensive reading. The Register contains full contact details including telephone, fax, email and websites as well as details of application procedures and closing dates. It is updated annually to ensure accurate information. |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2001: Department of Energy fiscal year 2001 budget justifications United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2000 |
| department of energy computational science graduate fellowship: Strengthening the Linkages Between the Sciences and the Mathematical Sciences National Research Council, Commission on Physical Sciences, Mathematics, and Applications, Committee on Strengthening the Linkages Between the Sciences and the Mathematical Sciences, 2000-04-05 Over three hundred years ago, Galileo is reported to have said, The laws of nature are written in the language of mathematics. Often mathematics and science go hand in hand, with one helping develop and improve the other. Discoveries in science, for example, open up new advances in statistics, computer science, operations research, and pure and applied mathematics which in turn enabled new practical technologies and advanced entirely new frontiers of science. Despite the interdependency that exists between these two disciplines, cooperation and collaboration between mathematical scientists and scientists have only occurred by chance. To encourage new collaboration between the mathematical sciences and other fields and to sustain present collaboration, the National Research Council (NRC) formed a committee representing a broad cross-section of scientists from academia, federal government laboratories, and industry. The goal of the committee was to examine the mechanisms for strengthening interdisciplinary research between mathematical sciences and the sciences, with a strong focus on suggesting the most effective mechanisms of collaboration. Strengthening the Linkages Between the Sciences and the Mathematical Sciences provides the findings and recommendations of the committee as well as case studies of cross-discipline collaboration, the workshop agenda, and federal agencies that provide funding for such collaboration. |
| department of energy computational science graduate fellowship: DOE Budget for FY 2014 United States. Congress. Senate. Committee on Energy and Natural Resources, 2013 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2016: Department of Energy: Secretary of Energy United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2015 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2016 United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2015 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2003: Department of Energy ... National Nuclear Security Administration ... Power Marketing Administrations United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2002 |
| department of energy computational science graduate fellowship: Introduction to Engineering Research Wendy C. Crone, 2022-06-01 Undergraduate and first-year graduate students engaging in engineering research need more than technical skills and tools to be successful. From finding a research position and funding, to getting the mentoring needed to be successful while conducting research responsibly, to learning how to do the other aspects of research associated with project management and communication, this book provides novice researchers with the guidance they need to begin developing mastery. Awareness and deeper understanding of the broader context of research reduces barriers to success, increases capacity to contribute to a research team, and enhances ability to work both independently and collaboratively. Being prepared for what's to come and knowing the questions to ask along the way allows those entering researcher to become more comfortable engaging with not only the research itself but also their colleagues and mentors. |
| department of energy computational science graduate fellowship: Higher Education Cornelia M. Ashby, 2006-03 The fed. gov't. has spent billions of dollars on educ. programs in the science, tech., engin., & math (STEM) fields for many years. However, concerns have been raised about the nation's ability to maintain its global technological competitive advantage in the future. This report presents info. on: the number of fed. prog. funded in FY 2004 that were designed to increase the number of students & graduates pursuing STEM degrees & occupations or improve educ. progress in STEM fields, & what agencies report about their effectiveness; how the number, percentages, & character. of students, grad., & employees in STEM fields have changed over the years'; & factors cited as affecting students' decisions about pursing STEM degrees. Charts & tables. |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2010: Dept. of Energy fiscal year 2010 justifications United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2009 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2016: U.S. Corps of Engineers; Bureau of Reclamation United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2015 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2017: Department of Energy: Secretary of Energy United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2016 |
| department of energy computational science graduate fellowship: Providing the Tools for Scientific Discovery and Basic Energy Research United States. Congress. House. Committee on Science, Space, and Technology (2011). Subcommittee on Energy, 2013 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2010, Part 9, 2009, 111-1 Hearings , 2009 |
| department of energy computational science graduate fellowship: Fiscal Year 2001 Budget Authorization Request United States. Congress. House. Committee on Science. Subcommittee on Energy and Environment, 2001 |
| department of energy computational science graduate fellowship: Supercomputing and American Technology Leadership United States. Congress. House. Committee on Science, Space, and Technology (2011). Subcommittee on Energy, 2015 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2003: Secretary of Energy; Science, renewable energy, and nuclear energy United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2002 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2001: Secretary of Energy United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2000 |
| department of energy computational science graduate fellowship: Department of Energy Office of Science--issues and Opportunities United States. Congress. House. Committee on Science. Subcommittee on Energy, 2002 |
| department of energy computational science graduate fellowship: Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications Manish Parashar, Xiaolin Li, Sumir Chandra, 2010-01-05 A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable—and therefore require full-fledged computational infrastructure support for problem solving, runtime management, and dynamic partitioning/balancing. This book presents a comprehensive study of the design, architecture, and implementation of advanced computational infrastructures as well as the adaptive applications developed and deployed using these infrastructures from different perspectives, including system architects, software engineers, computational scientists, and application scientists. Providing insights into recent research efforts and projects, the authors include descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems. The first part of the book focuses on high-performance adaptive scientific applications and includes chapters that describe high-impact, real-world application scenarios in order to motivate the need for advanced computational engines as well as to outline their requirements. The second part identifies popular and widely used adaptive computational infrastructures. The third part focuses on the more specific partitioning and runtime management schemes underlying these computational toolkits. Presents representative problem-solving environments and infrastructures, runtime management strategies, partitioning and decomposition methods, and adaptive and dynamic applications Provides a unique collection of selected solutions and infrastructures that have significant impact with sufficient introductory materials Includes descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems The cross-disciplinary approach of this reference delivers a comprehensive discussion of the requirements, design challenges, underlying design philosophies, architectures, and implementation/deployment details of advanced computational infrastructures. It makes it a valuable resource for advanced courses in computational science and software/systems engineering for senior undergraduate and graduate students, as well as for computational and computer scientists, software developers, and other industry professionals. |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2002: Secretary of Energy ... pt.6. Atomic Energy Defense activities ... pt.7. Testimony of members of Congress and other interested individual and organizations United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2001 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2002 United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2001 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2003 United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2002 |
| department of energy computational science graduate fellowship: 107-2 Hearings: Energy and Water Development Appropriations For 2003, Part 5, March 6, 2002, * , 2002 |
| department of energy computational science graduate fellowship: High-performance Computing United States. Congress. Senate. Committee on Energy and Natural Resources. Subcommittee on Energy, 2004 |
| department of energy computational science graduate fellowship: 107-1 Hearing: Energy And Water Development Appropriations For 2002, Part 5, 2001 , 2001 |
| department of energy computational science graduate fellowship: Tank Closure and Waste Management for the Hanford Site , 2012 |
| department of energy computational science graduate fellowship: Peterson's Grants for Graduate & Postdoctoral Study , 1998 |
| department of energy computational science graduate fellowship: Federal Register , 2013 |
| department of energy computational science graduate fellowship: Energy and Water Development Appropriations for 2002: Department of Energy fiscal year 2002 budget justifications United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2001 |
| department of energy computational science graduate fellowship: Energy and water development appropriations for 2005 United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development, 2004 |
The DOE CSGF is open to senior undergraduates and those in …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of fi nancial support for students pursuing doctoral degrees in fi elds that use …
Krell Institute-Managed Federal Fellowship Programs
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of financial support for students pursuing doctoral degrees in fields that use high …
DOE Computational Science Graduate Fellowship Update
A four-year Ph.D. fellowship program sponsored by U.S. Department of Energy (DOE) focused on the study of science, mathematics, engineering or computer science using high performance …
Krell Institute Department of Energy Computational Science …
The Department of Energy Computational Science Graduate Program is designed to support highly capable students pursuing graduate study in scientific or engineering disciplines with an …
Fellowship Opportunities ASME Graduate Teaching Fellowship …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides fellowships to students pursuing a PhD in scientific or engineering disciplines with an …
GRADUATE STUDENT FELLOWSHIP OPPORTUNITIES: STEM
Jan 11, 2024 · Department of Energy Computational Science Graduate Fellowship. For first-year graduate students in STEM-related disciplines using math and computing to tackle research …
2013 Stewardship Science Academic Programs Annual
Computational Science Graduate Fellowship. The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides outstanding benefits and opportunities to …
DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of financial support for students pursuing doctoral degrees in fields that use high …
Front Page | Krell Institute
Background on the DOE CSGF Program................................................................... 1-2 The Field of Computational Science and Engineering
DEPARTMENT OF ENERGY COMPUTATIONAL …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of fi nancial support for students pursuing doctoral degrees in fi elds that use …
Response to the ASCAC Charge to Review the Computational …
The DOE Computational Science Graduate Fellowship Program (CSGF) provides up to four years of fellowship funding to competitively selected U.S. citizen or permanent resident full -time …
DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of fi nancial support for students pursuing doctoral degrees in fi elds that use …
The Hard Life of Floatovoltaics: - docs.nrel.gov
In this work, we present a multi-model algorithm in which the dynamic forces applied by wind, water, and platform hardware are simulated together to understand the response of floating …
www.pma.caltech.edu
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of financial support for students pursuing doctoral degrees in fields that use high …
FRONTIERS IN MATERIALS MANUFACTURING ACCELERATING …
Christine Chalk is Program Manager for the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) and for the Oak Ridge Leadership Computing Facility at …
Undergraduate Internships - Fermilab
Computational Science Graduate Fellowship (CSGF) CSGF provides outstanding benefits and opportunities to students pursuing doctoral degrees in fields that use high-performance …
Big Help from Small Microbes: Electron Transfers
The Department of Energy awarded 26 Computational Science Graduate Fellowships in early May to students at 19 different universities across the United States. Renewable for up to four …
Applications Due 1.17
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of fi nancial support for students pursuing doctoral degrees in fi elds that use …
Department of Energy Computational Science Graduate …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides outstanding benefits and opportunities to students pursuing doctoral degrees in fields …
DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides outstanding benefits and opportunities to students . pursuing doctoral degrees in …
The DOE CSGF is open to senior undergraduates and those in …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of fi nancial support for students pursuing doctoral degrees in fi elds that use …
Krell Institute-Managed Federal Fellowship Programs
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of financial support for students pursuing doctoral degrees in fields that use high …
DOE Computational Science Graduate Fellowship Update
A four-year Ph.D. fellowship program sponsored by U.S. Department of Energy (DOE) focused on the study of science, mathematics, engineering or computer science using high performance …
Krell Institute Department of Energy Computational …
The Department of Energy Computational Science Graduate Program is designed to support highly capable students pursuing graduate study in scientific or engineering disciplines with an …
Fellowship Opportunities ASME Graduate Teaching …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides fellowships to students pursuing a PhD in scientific or engineering disciplines with an …
GRADUATE STUDENT FELLOWSHIP OPPORTUNITIES: STEM
Jan 11, 2024 · Department of Energy Computational Science Graduate Fellowship. For first-year graduate students in STEM-related disciplines using math and computing to tackle research …
2013 Stewardship Science Academic Programs Annual
Computational Science Graduate Fellowship. The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides outstanding benefits and opportunities to …
DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of financial support for students pursuing doctoral degrees in fields that use high …
Front Page | Krell Institute
Background on the DOE CSGF Program................................................................... 1-2 The Field of Computational Science and Engineering
DEPARTMENT OF ENERGY COMPUTATIONAL …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of fi nancial support for students pursuing doctoral degrees in fi elds that use …
Response to the ASCAC Charge to Review the Computational …
The DOE Computational Science Graduate Fellowship Program (CSGF) provides up to four years of fellowship funding to competitively selected U.S. citizen or permanent resident full -time …
DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of fi nancial support for students pursuing doctoral degrees in fi elds that use …
The Hard Life of Floatovoltaics: - docs.nrel.gov
In this work, we present a multi-model algorithm in which the dynamic forces applied by wind, water, and platform hardware are simulated together to understand the response of floating PV …
www.pma.caltech.edu
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of financial support for students pursuing doctoral degrees in fields that use high …
FRONTIERS IN MATERIALS MANUFACTURING …
Christine Chalk is Program Manager for the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) and for the Oak Ridge Leadership Computing Facility at …
Undergraduate Internships - Fermilab
Computational Science Graduate Fellowship (CSGF) CSGF provides outstanding benefits and opportunities to students pursuing doctoral degrees in fields that use high-performance …
Big Help from Small Microbes: Electron Transfers
The Department of Energy awarded 26 Computational Science Graduate Fellowships in early May to students at 19 different universities across the United States. Renewable for up to four …
Applications Due 1.17
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of fi nancial support for students pursuing doctoral degrees in fi elds that use …
Department of Energy Computational Science Graduate …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides outstanding benefits and opportunities to students pursuing doctoral degrees in fields …
DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE …
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides outstanding benefits and opportunities to students . pursuing doctoral degrees in …
