21 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" 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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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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members undertake research in various fields of expertise. Selection process The application form can be downloaded from the University of Namur website (https://www.unamur.be/en/university/work/forms
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application form can be downloaded from the University of Namur website (https://www.unamur.be/en/university/work/forms ). The filled out form (in PDF format) should be returned before 30/04/2026 by e-mail to
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, please contact solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60646306?hl=en Requirements Research FieldCriminologyEducation LevelMaster Degree
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.•Remuneration according to the KU Leuven salary scale, including travel reimbursement: https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information#workin… ;•The PhD would begin as soon as possible, with
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the heart of a city renowned for its friendliness and hospitality, makes it a great place to live and work. A description of the working environment at HEC Liège is available at http://hec.uliege.be/en/hec
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with the online application, please contact solliciteren@kuleuven.be. Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60646298?hl=en Requirements Research FieldCriminologyEducation
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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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, 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