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. Prolongation of the contract is contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training
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Challenge: Distinguish noise and signal in data streams Change: Refined asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 3 months ago
engineering. Knowledge of and experience with signal processing is considered valuable, as is hands-on experience with experimental work. You are preferably a driven person, aiming for good research work and
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4-year NWO M1-funded PhD position for a project on “Social Ageing: Social
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Machine Learning, Signal Processing and/or background in Cryptography, Computer Security Fluency in oral and written English, good presentation skills Interest in collaborating with a highly international
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of this response is the cardiac fibroblast, a supportive stromal cell that plays a crucial role in the scar-forming process. While we have made significant progress in understanding the biology that separates
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. We want to find out how these complex assemblies are built up. As traditional microscopy approaches are not suited to follow these minute, dynamic processes, the PhD students will use advanced
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motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute for Mathematics at the University
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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
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, multimodal data, and explainability? This PhD project offers you the chance to develop novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and