15 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD research jobs in Belgium
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to communicate the accomplished / in-process work to internal and external stakeholders and adapt directions where needed. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/machine
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de Geus (UCL-PA&Health) prof. dr. Kobe Boussauw (VUB-Cosmopolis) prof. dr. Geert Te Boveldt (VUB-Mobilise) Postdoctoral researchers: dr. Eva Van Eenoo (VUB-Cosmopolis) dr. Sara Tori (VUB-Mobilise
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contribution of the PhD will be the derivation of multilayered approaches for motion planning and control based on the XS-Graphs, where both model-based and learning-based solutions are foreseen. This includes
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@kuleuven.be or Prof. dr. Johan Put, mail: johan.put@kuleuven.be . In case of problems with the online application, please contact solliciteren@kuleuven.be Where to apply Website https://www.kuleuven.be
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case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60625920?hl=en Requirements Research
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available1Company/InstituteUniversity of NamurCountryBelgiumGeofield Contact City Namur Website http://www.unamur.be Street Rue de Bruxelles, 61 Postal Code 5000 E-Mail direction.unsm@unamur.be STATUS: EXPIRED X
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, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience with Git and empirical evaluation Experience
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publications and present them at well-known international conferences and workshops. Your profile M.Sc./M.Eng. Degree in telecommunication engineering, signal processing, machine learning or a closely related
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural