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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production? Information Integrated
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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those in a data- and compute-efficient manner to various problem settings. However, the perceptual possibilities are critically hindered by the language-focussed optimization of current foundation models
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a highly motivated PhD candidate to work on sloshing control in liquid tanks as part of the ERC project ReTwist in the team of Prof. Miguel A. Mendez. Sloshing – the wave-like motion of liquid in
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are critically hindered by the language-focussed optimization of current foundation models, fundamentally limiting their ability for spatial reasoning, temporal logic, and operating in low-resource scenarios
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embedded within the Soft Tissue Engineering and Mechanobiology (STEM) group headed by Prof. Carlijn V.C. Bouten and the Modelling in Mechanobiology (MMB) group led by Dr. Sandra Loerakker . As a member of
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technology and electrochemistry. Research challenges Current strategies for electrochemical carbon capture technologies often rely on bipolar membranes (BPMs) to regenerate carbon capture solvents via a pH