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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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functional priors from billions of years of evolution; how to compress measurements with controlled mixtures of molecules; and how to align models of laboratory experiments with observational human biology
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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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2026. The UNFoLD lab specialises in the experimental measurements, analysis, and modelling of unsteady vortex-dominated flow phenomena, with applications in bio-inspired propulsion, wind turbine rotor
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English and meets the university’s English language requirements (https://www.rug.nl/education/phd-programmes/prospective/phd-positions/e… ). - Affinity with and knowledge of basics of AI-modelling and data
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/en/organisation/liu/ida You will be placed at the Human-Centred Systems division in the group of Knowledge Modelling and Cognitive Systems, as part of the Linköping University Semantic Web group
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vivo trials with induced (in rodents) and spontaneous (in dogs and cats) animal models of diabetes – 10% b) Collection and processing of biological samples – 5% c) Conducting in vitro tests
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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
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assessment. Stress testing & model robustness. Generative imaging models. Please see job description for a full list of requirements. *Candidates who have not yet been officially awarded their PhD will be
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interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class