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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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++ Knowledge of GPU programming. Experience in application performance profiling. Desired qualifications: Experience from working on quantum computing Experience in FPGA development. Contract terms This postdoc
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, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. Strong programming skills. Experience with machine learning frameworks such as PyTorch or TensorFlow
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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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-term project. We are looking for a software engineer to develop new features and extend the capabilities of a real-time neural data processing and decoding platform. This includes optimizing GPU
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Technological University (NTU) are seeking a Research Fellow or Engineer to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected
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be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research, participation in
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. Expertise is required or highly desired in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired
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Technological University (NTU) are seeking Research Engineers to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices