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to science, engineering and society. You will focus on optimization-based, data-driven and partially model-based control methods. You will have access to a strong research network and a broad range of
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in order to recruit 11 outstanding PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling
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are encouraged. The group is embedded within ICMM, providing access to outstanding facilities for human and mouse embryology, advanced microscopy, genome engineering, transgenic mouse models and single-cell
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collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification and screening of advanced materials for gas
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well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how
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combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge
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UiO/Anders Lien 28th September 2026 Languages English English English PhD Candidate in advanced immune competent liver models Hybrid Technology Hub – Centre of Excellence (HTH CoE), Institute
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Thermal Conversion and Storage group at the University of Twente, you will investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling