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, cyber-physical systems, real-time systems, autonomous systems, middleware, parallel computing, operating systems, Edge AI or AI in cyber-physical systems; Demonstrate strong analytical, programming, and
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recently launched ambitious research programs aimed at consolidating research in two key thematic areas: health and engineering. One of these programs, SysMics (Towards Systems medicine based on multi-oMics
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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) Established Researcher (R3) Country Italy Application Deadline 22 Jan 2026 - 12:00 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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field from an accredited institution. Demonstrated skills in creative problem solving and troubleshooting Experience with parallel computing and multi-core \ multi-threaded programming libraries Knowledge
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experimental/theoretical advances in the field. Communicate with your research supervisors and identify the scientific problems to tackle and make the research plan. Follow the research plan and carry out
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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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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks: Developing optimization algorithms for massively parallel hardware architectures such as AI
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. More information about the lab and their work can be found by visiting https://www.hhmi.umbc.edu . About the Postdoctoral Scientist role: We are seeking a motivated and creative Postdoctoral Scientist