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on chiral organisation in crowded environments, of relevance to biological systems. More specifically, in this role you will: image amphiphile assemblies at the interface of a cholesteric liquid
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-based machine learning prediction model; Processing imaging data (18F-FDG PET/CT and DW-MRI / DCE-MRI scans); Validating the accuracy and reliability of the prediction model; Optimizing and validating
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Computer Science, Artificial Intelligence, Machine Learning, or a related field; Strong background in image processing, computer vision, and deep learning; Excellent programming skills (Python preferred), with
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candidate, you must have a strong background in computational imaging and image processing, as well as excellent programming skills. In addition, you must have an understanding of or an interest in
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the reconstruction of (paint) layers. As a candidate, you must have a strong background in computational imaging and image processing, as well as excellent programming skills. In addition, you must have an
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about trustworthy AI and brain image analysis and want to make an impact in transforming next
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, undirected Brownian motion dominates in state-of-the-art membranes. 2D membranes have the potential to overcome this intrinsic deficiency and shift the paradigm of particle transport from disordered Brownian
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applications, ranging from non-invasive cancer treatments to contrast imaging and targeted drug delivery. The research will be supervised by Dr Vanja Nikolić. Learn here more about the project in non-technical
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We offer two 4-year PhD positions in Neurolinguistics to work on a project regarding language testing in awake brain surgery (see The PhD project, below). The two PhD candidates will be supervised