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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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contributions to the development of the Time-of-Flight system of the EPiC Detector for the Electron-Ion Collider, including leadership of multi-institutional efforts to develop prototype assemblies. Performing
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, research, and outreach programs. The Gastrointestinal Laboratory (GI Lab) at the Texas A&M College of Veterinary Medicine & Biomedical Sciences (CVM) provides specialized testing services to help
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optimization, with experience in adaptive routing and SDN technologies. Proficiency in programming languages such as Python, C/C++, and experience with parallel computing frameworks. Effective written and oral
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
Monolithic Active Pixel Sensors (MAPS) for the Silicon Vertex Tracker of the ePIC experiment for the Electron-Ion Collider. The successful candidate will play a major role in the design of the readout
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to ongoing research and programming efforts within Stanford CARE’s key strategic focus areas: Lung Cancer in Never Smokers, Gastric Cancer, and Cardiometabolic Disease, as well as our Journal of Asian Health
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The Postdoctoral Diversity Enrichment Program (PDEP) provides $60,000 over three years to support the career development activities and success of underrepresented postdoctoral fellows in a degree
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful