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Field
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experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to understand the inner workings of loop, TAD, subTAD, and trans
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theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment
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therapies, cell programming and repair, bioengineering, and computational health. Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate
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• Familiarity with operating HPC clusters (e.g., bash, Python) Preferred Qualifications • HPC programming skills (e.g., modern Fortran or C/C++) • Parallel programming skills (e.g., OpenMP, MPI, OPENACC, CUDA
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programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD fellow position is for a period of three years and full time studies with the possibility
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laboratory at LHO. In parallel, the chosen candidate will assist in forging results of this R&D into a conceptual reference design, construction plan, and parametric cost estimate for CE. These will form
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-square-foot medical facility designed to meet the growing healthcare needs of our region. Spanning six floors, this advanced facility is home to key clinical programs and offers specialized diagnostic
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-square-foot medical facility designed to meet the growing healthcare needs of our region. Spanning six floors, this advanced facility is home to key clinical programs and offers specialized diagnostic
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Software testing Algorithm development Advanced programming topics (graphics, AI, compiler, parallel programming) Web development Educational Requirements: Master's degree in computer science or relevant
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Mellon University’s Office of Human Resources who helps manage and guide CMU’s compensation and benefits programs, structures, systems, and practices. This position will be responsible for leading the day