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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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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
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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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awake brain surgery (see The PhD project, below). The two PhD candidates will be supervised by Dr. Adrià Rofes (daily advisor), Prof. Dr. Roel Jonkers (promotor), and Prof. Dr. Thomas Picht (co-advisor