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computational imaging and image processing, as well as excellent programming skills. In addition, you must have an understanding of or an interest in the physics of (X-ray) image formation. Key responsibilities
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will work closely with other members of the FoodWays project (one post-doc / project manager and one other PhD) and master students. The FoodWays project is divided into three interconnected Work
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a team of experts in computer vision, and imaging at LIACS, in mathematical mechanistic models, at VU, and with biologists expert in pattern formation on animals’ skin, at Naturalis. We are looking
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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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, imaging and quantifying their binding and figuring out how these ligands affect signalling. The project is highly multi-disciplinary and involves solid phase peptide synthesis, cell biology. Work and
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the analyses will be carried out. The candidate will also work closely with other members of the FoodWays project (one post-doc / project manager and one other PhD), and master students. The FoodWays project is
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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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. This will involve tuning existing open Large Language Models (LLMs) to add knowledge about existing radio astronomy codes and the capabilities of emerging technologies, testing prototype codes generated by
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, followed by empirical studies and validation of the models. Aspects of interest include, but are not limited to, higher-order network structures, random processes on random (geometric) graphs and random
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research. High quality teaching and research is inclusive. Information Enquiries can be made to Nusa Zidaric: n.zidaric@liacs.leidenuniv.nl . If you have any questions about the procedure, please mail to