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Per Week 30-40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number SB25-0101 Is the Job related to staff position within a Research
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g., Docker, Podman, Apptainer), networking
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Intervention (EI) services. The post is based within the Hintze Centre programme on mood disorders and will support future AI-enabled diagnostic tools and longitudinal research. In this role, you will be
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vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined
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will contribute to areas such as the design and analysis of algorithms (e.g. randomized, quantum, approximation, property testing, online, streaming, sublinear, fine-grained, distributed/parallel) and/or
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Introduction Trinity Laban is accepting applications for a new PhD fund in partnership with the Satyam Kalon Programme. The Programme is a ground-breaking collaboration between academics, artists
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, reproducible computational workflows for large-scale screening and multiscale model integration. HPC at Scale: Run, optimize, and profile large simulations on HPC systems; ensure efficient parallel performance
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 13 days ago
We welcome candidates with a master (or equivalent title) in computer science, experience with parallel programming, distributed data processing, deep learning or numerical solvers. Expected
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this multidisciplinary team, the candidate will have access to state-of-the-art technologies (massive parallel sequencing, mass spectrometry-based proteomics, high-performance computing infrastructure and data science