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modeling using chemistry or materials codes, weather simulations, etc. Statistical modeling and data visualization Parallel software design with MPI, OpenMP, pthreads, or CUDA GPU computing environment Deep
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/C++, Fortran, and/or Python Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a
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: 282537712 Department Research Computing Category Information Technology Job Type Full-Time Overview Join Princeton's AI Lab and Research Software Engineering team as a Lead Research Software Engineer (RSE
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for Politics for at least the initial term of their appointment. The candidate will have wide latitude in shaping Polis’s activities through their strategic leadership in program development and implementation
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on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 ADA
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Posting Details Position Information Job Title ECU Community School Principal Position Number 002586 Vacancy Open to All Candidates Department AAH College of Education Department Homepage https
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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient
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destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including research
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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large research team. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel