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Field
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software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel
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of these are supported by an ambitious instrumentation programme. Further information about the IAC's research programme, its Observatories and the 10.4m GTC is available at the IAC's web page: https://www.iac.es/en Tasks
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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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areas. Qualifications To be eligible for a postdoc position, you must have a PhD in Computer Science, Automation, Electronics, Mechatronics, Industrial IT, or another relevant subject area. The PhD should
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Recent Publications on the Subject: Dube U, et al. Nat Neurosci . 2019. PMID
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Recognised Researcher (R2) Positions Postdoc Positions Country Italy Application Deadline 13 Nov 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded
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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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28 Oct 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Mathematics Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing