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description: Work Area: Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems Project overview: Processing of physiological and inertial signals
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developed: Collaborate in studies of a combinatorial optimization problem of current interest. Propose new algorithmic solutions for its resolution. Cooperate in the extensive experimental analysis
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developed: Collaborate in studies of a combinatorial optimization problem of current interest. Propose new algorithmic solutions for its resolution. Cooperate in the extensive experimental analysis
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. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking an ambitious candidate to develop Machine Learning models and frameworks for time series
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research strand 3 «Addressing key methodological challenges». The positions are tied to CREATE’s strand 3. Strand 3 aims to develop novel methods and statistical software that are tailor-made to the research
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-source project used by the scattering community Exposure to advanced data analysis methods and practical algorithm implementation Opportunity to work closely with scientists and software developers at MAX
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& AI hardware or brain-inspired AI algorithm development, spatial analysis of multi-omics data. We are particularly interested in applicants with a demonstrated track record of translating discoveries
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on developing the next generation of approaches for analyzing spatiotemporal data arising from sports matches (e.g., tactcal analyses, player/team evaluation, …). See https://dtai.cs.kuleuven.be/sports 4) 1-2
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/ourservices/battery-technologies Blog post about developments in electric transport: https://www.vttresearch.com/en/news-and-ideas/electric-transport-developing-record-rate-it-time-invest-heavy-duty-vehicles