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Field
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position within a Research Infrastructure? No Offer Description The position targets the design and evaluation of novel architectures, programming paradigms, and parallel algorithms for AI accelerators
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Responsibilities: Study and analyze dataflow patterns in emerging data-intensive applications. Design and develop parallel file systems for node-local NVMe. Evaluate the performance implications of alternative
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. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3 administrative
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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of scientific activities (1 conference, 1 research school, 1 or 2 workshops, 2 paired research projects + any other parallel activities such as Masterclasses, FRUMAM conferences, etc.). It is organized
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Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Jupyter Notebooks/VSCode; - Parallel programming and integration with databases (e.g., SQL, APIs). Candidates should also demonstrate interest in interdisciplinary collaboration (engineering, epidemiology
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to work independently and manage multiple programs in parallel. Detail-oriented, with a commitment to quality assurance and enhancing the learner/researcher experience. More Information Location: Kent Ridge
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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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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