216 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate, Secure Computation Technologies and Applications to Machine Learning
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within the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. The
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students? This participatory PhD project might be your chance! As a PhD you will be involved in a 4 year NRO (Nederlands Regieorgaan Onderwijsonderzoek) funded project that is contextualised in the Learning
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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Apply now Photoactivated chemotherapy (PACT) is a new form of phototherapy against cancer. In the frame of an Institute-funded programme dedicated to developing new photocages for cancer treatment
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
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? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase. Your work will help shape environmentally
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thesis within the contract period is to be expected. A PhD training program is part of the agreement and you will be enrolled in the Graduate School of the Faculty of Science and Engineering. Candidates
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to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create