22 phd-in-computer-vision-and-machine-learning PhD positions at University of Antwerp in Belgium
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(100%) PhD in the field of Molecular and Computational Neurogenomics Position We are a highly motivated international team of researchers at the Molecular Neurogenomics group (Jordanova Lab) and the
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of computational linguistics and crosslingual emotion detection Position You will work actively on the preparation of a PhD thesis in the context of the research project ‘Emotions without borders: Studying
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of more efficient cancer detection methods and revolutionary therapies. The center is looking for A PhD for the project “Intraoperative assessment of resection margins in breast cancer surgery by Raman
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line with the University of Antwerp’s educational vision . What we offer We offer a PhD position for a period of two years. Following a positive evaluation and sufficiently available funds, the position
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scholarship holder in the field of plasma chemistry and physics. Position You will work actively on the preparation and defence of a PhD thesis within the research group PLASMANT (Plasma Lab for Applications in
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(involving, e.g., computer programmers and data scientists, military startups, technology firms) and how it leads or has led to new and compounding forms of civilian harm in Ukraine and Gaza. It is co-led by
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mortality rate. This project will involve a comprehensive approach combining bacterial whole genome sequencing, genomics based bio-informatics, chemical analyses of bacterial compounds and immunological
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Health Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of molecular exercise physiology. Research project The PhD research project is conducted in collaboration with
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) and QSP (KU Leuven). The hired PhD student will be in charge of producing clusters in the gas phase, depositing them on the titania nanotubes and SiO2 , and studying their ex situ structural and
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talented PhD students to develop and benchmark cutting-edge super-resolution imaging technologies. The project aims to establish a comprehensive approach for ultra-high-content, multimodal imaging