109 parallel-computing-numerical-methods "Institute of Computer Science" uni jobs at Zintellect
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Zone Description Exciting Opportunity for Students and Recent Graduates: Join the DOE Scholars Program! Are you ready to make an impact on the future of energy and national security? The U.S. Department
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high-performance computing resources. This setting allows for direct insight into methods used to investigate aquifers, rivers, reservoirs, lakes, estuaries, coastal inlets, wetlands, and related
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limited to: HPC file transfer and parallel programming, among others. Benchmarking Computational physics Artificial Intelligence At the end of the internship, you will have the opportunity to present
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Research Training (SMaRT) Program. Students who will be rising sophomores, juniors and seniors in the Fall 2027 semester are eligible to apply. This prominent program will select approximately 40 qualified
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sent by Friday, September 4, 2026. Application Deadline 9/18/2026 3:00:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Office of Science Graduate Student Research (SCGSR) Program
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technical documentation, research summaries, and briefing presentations that communicate algorithm design, validation methods, computational performance, and risk assessment findings. What is the anticipated
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), specifically the X-BRIDGE research program. Research will be in conjunction with the University of Maine and the UMaine Advanced Structural Composites Center (ASCC) and is within the area of innovative
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Organization Oak Ridge National Laboratory (ORNL) Reference Code ORNL-NGSI-Spring-2027 Description The Next Generation STEM Internship Program (NGSI) affords juniors, seniors, and recent graduates
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simulation modeling, differential equations, and numerical methods Training and hands-on experience in infectious disease transmission modeling (e.g., SEIR-family, branching processes, renewal processes
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biology applications. Why should I apply? Through this research opportunity, you will learn how computational methods, hardware, and software are integrated to solve real-world biosurveillance challenges