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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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, parallel execution, and distributed training or simulation workloads. Ensure high reliability of research workflows through robust monitoring, logging, and performance analysis systems. Guide the integration
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
protective human gain-of-function gene variants. Supporting the group with (sc/sp) RNA-seq analysis and multi omics integration. Assist with implementation of paralleled microRNA/mRNA single-cell seq like
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Green hydrogen has a central role in enabling the global
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integration with classical HPC; accelerator platforms and accelerated computing; parallel, distributed, and HPC programming models and languages; software design, verification, and optimization; energy
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differential equations. The individual must be able to immediately program in the software SFEMaNS using object-oriented Fortran 2033 and MPI. The individual must be familiar with the linear algebra parallel
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to organize and plan work independently. Teamwork. Adaptability. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7597-ANNGRO3-005/Default.aspx Work Location(s) Number of offers
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
program whom they hope to work with. To hire a Canada Emerging Leader, Dalhousie must first secure a Canada Impact+ Research Chairs in a complementary research area. Learn more: https://dal.peopleadmin.ca
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support to the Neuroimmunology clinical research program, under the supervision of the investigators (Harroud A., Thebault S., Blanchard O., and Giacomini P.) and senior research staff (Research Assistant 2
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learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place