12 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions at University of Antwerp in Belgium
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processing, or networking (preferred). You have strong background in machine learning or deep learning (experience with deep learning frameworks such PyTorch and TensorFlow is a plus). You have solid
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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative
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, proteomics, microscopy, structural biology, technology development, and bioinformatics at VIB-UAntwerp Center for Molecular Neurology (https://cmn.sites.vib.be/ ), at VIB (https://vib.be/ ), and at UBirmingham
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, technology development, and bioinformatics at VIB-UAntwerp Center for Molecular Neurology (https://cmn.sites.vib.be/ ), at VIB (https://vib.be/ ), and at UBirmingham (https://www.birmingham.ac.uk
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IDLab research on flexible and deterministic networking at the University of Antwerp (https://www.uantwerpen.be/en/research-groups/idlab/research-areas/flexible-deterministic-networking/) The selection
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diverse characteristics to apply. Where to apply Website https://academicpositions.com/ad/university-of-antwerp/2026/doctoral-scholarshi… Requirements Research FieldArchitectureYears of Research Experience1
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, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply. Where to apply Website https://academicpositions.com/ad/university-of-antwerp/2026/senior
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application to FWO or another external funding organization (depending on your profile and in consultation with your PhD supervisors). Education You will provide support with teaching and also teach high
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or are willing to learn Dutch quickly. In your application, you demonstrate that you are capable of doing so. You are strong in planning and organizing and can work independently. Your teaching competences are in
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attention to quality, integrity, creativity and cooperation. You have a strong background in signal processing, with emphasis on acoustics, array processing, or time–frequency analysis. You are eager to learn