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Computing and lead transformative initiatives that empower world-class research across our dynamic campus. This strategic leadership role offers the opportunity to drive innovation at one of the nation's
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parallelizing serial computational applications. Experience in data analytics. Proficiency with one or more of Python (NumPy/SciPy/Pandas), R, MATLAB, etc. Familiarity with containers such as Singularity
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the project’s cross-cutting computational and bioanalytical objectives and will involve developing a data base to record and access clinical data from a wide variety of animal species and also to develop a
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translational health sciences. Position Overview UTA is launching a transformative, interdisciplinary cluster hire in AI-enabled precision medicine within UTA’s Center for Innovation in Health Informatics. This
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 17 days ago
+ Research Chairs program . This national initiative is designed to recruit world-leading scholars whose work addresses critical global and national challenges and who are poised to build transformational
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to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will explore
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. Excellent organizational and computer skills and record-keeping habits. Experience juggling multiple parallel efforts and effective planning and time management Demonstrated ability to complete projects
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
-09731 Requirements Skills/Qualifications Candidate profile - Master degree Computer Sciences. - Experience in scientific programming (e.g., Python, C++, Fortran, Julia) and parallelization
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collaborating experimental research groups. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based