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and machine learning. Master of Science (MSc) diploma in Transportation, Robotics, Computer Science, Logistics, Operations Research, Industrial Engineering, Applied Maths or any other related field
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models using cutting-edge language technology. The project involves collaboration with experts from TU Delft, focusing on enhancing the security of machine learning model sharing without compromising data
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at TU Delft. In this project we also work together with experimental groups at TU Delft and beyond. The Delft Bioinformatics Lab has strong algorithmic and machine learning expertise, with a profound
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shifts in cell state and cell fate. Integrate spatial transcriptomics data to anchor these predictions in tissue context. Develop machine learning methods (e.g. graph neural networks, variational
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theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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8 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology Research Field Chemistry » Physical chemistry Chemistry » Other Engineering » Materials engineering Engineering
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, and software engineering skills with prior experience implementing machine learning algorithms using well-known frameworks (e.g., PyTorch). Ability to work in an interdisciplinary team and interested in
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-on monitoring with cutting edge data-driven and physical based models, including the deployment of machine learning algorithms. The project aims to have a tangible impact on the way urban waters are monitored
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and Gabriele Keller) and machine learning (e.g., Bob Carpenter) if appropriate for your interests. Beyond membership of the FoRECAST team, you’ll join the Software Technology group led by Gabriele