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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to validate, in independent
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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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) 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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on representing the field of parallel programming in the Bachelor and Master study programs of TU Wien, as well as contributing to usual management and faculty service tasks. Where to apply Website https
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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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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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/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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ecomorphological outcomes significantly parallel. As a next step, it is vital to dig more deeply into the molecular mechanisms driving these patterns. This project will examine replicate divergences into specialist
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant