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/en/jobs/362075/phd-position-cfd-fem-modelling-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/362075/ Work Location(s) Number of offers
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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Researcher (R1) Positions PhD Positions Application Deadline 31 Aug 2026 - 23:59 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 1 Oct
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intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD
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of the RePlaCE project is to improving the quality and quantity of recycled plastics derived from end-of-life vehicles (ELV) and Waste Electrical and Electronic Equipment (WEEE). The PhD candidate will work
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both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal Portal, at https://www.euraxess.pt/ . Pursuant to paragraph h) of Article 9 of the Portuguese Constitution
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Engineering (Spanish MECES level 3 or EQF level 7), or any other official Master’s degree with equivalent content. PhD in Computer Engineering (Spanish MECES level 4 or EQF level 8) or any other PhD programme
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one or more of the following areas is meriting: Bayesian statistics, mathematical modelling, probabilistic machine learning, deep learning, large language models. Rules governing PhD students are set
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actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions, policies, and learning processes
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actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks