276 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Belgium
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to apply plant biotechnology for applications in the Global South Welcome but not required Experience in bio-informatics Interest in automated phenotyping Key personal characteristics You are enthusiastic
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; further training and skill development will take place during the PhD: Experience in computational data analysis and quantitative modelling (e.g. in R). Experience in one or more of the following laboratory
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engineering, industrial engineering, mathematics, engineering, computer science, artificial intelligence). Strong study results are an asset. A strong interest in scientific research in machine learning and AI
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with their personal goals and interests. Your profile Master's degree in Information Systems, Economics, Operations Research, or related fields Strong knowledge of quantitative and/or computational
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back boundaries and set a course for the future – a future that you can help to shape. A-PECS at the Department of Bioscience Engineering in the Faculty of Science is looking for a full-time (100%) PhD
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The Faculty of Engineering, Department of Applied Physics and Photonics, Brussels Photonics (B-PHOT) research group at the Vrije Universiteit Brussel (VUB) is looking for an excellent PhD candidate
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degree in Electrical Engineering, Telecommunications Engineering, Computer Science, or a closely related field Strong background in digital signal processing and mathematics, demonstrated through academic
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back boundaries and set a course for the future – a future that you can help to shape. The Department of Pharmacy within the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences is seeking a
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back boundaries and set a course for the future – a future that you can help to shape. The Department of Pharmacy within the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences is seeking a
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working on nonlinear and multiphoton optical spectroscopy and microscopy for molecular and materials characterization. The project is part of the broader MIP research programme across KU Leuven (Leuven and