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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel computing, search and optimisation techniques
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Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel
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algorithms Algorithmics Parallel/Distributed computing Technical standardisation Strong analytical and programming skills (e.g., Python and C/C++) are essential Language Skills: Fluent written and verbal
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detectors Experience in applying machine learning to scientific problems Experience in distributed computing, workflow management and/or data management software Experience in parallel programming and
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, multi-user software, and distributed or parallel computing is an asset. The ideal candidate should be well-versed with the fundamentals and state-of-the-art of EEG and MEG signal processing. Other
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experience with modeling and simulation, data science and/or machine learning, parallel and distributed computing, or hardware accelerators will be advantageous We regret that only shortlisted candidates will
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Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel
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and spatial distribution” in the Research Unit Coastal Seas and Society until the 30.11.2027 and a percentage of 100% (40h/week), subject to the funding of the project. Remuneration is paid in
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intelligence, parallel and distributed systems, cryptography, computer and network security, computer vision, image processing, natural language processing. Job Requirement Candidates should have a PhD degree in