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magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced computational techniques, including (TD)DFT and post-DFT analyses, alongside spin dynamics
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medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge
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treatment of adrenal diseases. Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation
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treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology
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of sustainable blue economy innovation. You will be pioneering the development of next-generation, cement-free materials for marine infrastructure and cold-water coral reef restoration, directly addressing climate
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Ant Digital Twins for food safety. This is a 3-year position linked to the D-CRISP project . The candidate is to research, develop and demonstrate a methodology for building and integrating digital
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(NFR). DYNCAT aims to develop highly predictive, physics-based and AI-enhanced computational models to study and optimize the Rochow-Mülller process, which produces the raw material for silicone
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leader is the supervising Professor, and your Line Manager is Head of Department. Duties of the position To develop methodology for risk assessment and modeling providing early warnings on the risk level
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that evolve over time. For example, the contamination level may become critical, or on the contrary less urgent after a certain period. Two factors can be the source of such evolution, a physical one, where
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has a vacancy for PhD Candidate in Antagonistic threats-aware Digital Twins in product lifecycle. This is a 3-years position linked to the D-CRISP project . The candidate is to research, develop and