38 machine-learning-phd PhD positions in Belgium

  • University of Antwerp | Belgium | 2 months ago

    imaging (MRI) and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, image processing, machine learning

  • Ghent University | Belgium | about 2 months ago

    are subtopics in the research domain of machine learning). Current research within the WAVES group is focused around the recent trends emerging in the current online and offline world where users have to cope

  • Ghent University | Belgium | about 11 hours ago

    Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant

  • Ghent University | Belgium | about 11 hours ago

    your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references

  • Ghent University | Belgium | about 11 hours ago

    experience with scientific computing, data analysis, machine learning and/or AI You have an interest in environmental sustainability and pharmaceutical production Considered a plus: You have experience with

  • Ghent University | Belgium | 3 months ago

    (Mechanical Engineering, Civil Engineering, Materials Science, Computational Mechanics, etc.) You should have a strong interest in in experimental testing, data processing and machine learning. WHAT WE CAN

  • Ghent University | Belgium | about 11 hours ago

    -of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in

  • Ghent University | Belgium | about 1 month ago

    ; knowledge of Dutch is a plus but not mandatory. FELASA certification (B or C) is a plus, but can be obtained during the project. Having knowledge of or a strong interest in Machine Learning (ML) is a plus

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