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environments. Information This research focuses on advancing cutting-edge aerodynamic design methodologies to significantly enhance wind energy harvesting in urban settings. The primary objective is to develop a
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VR content developer. This involves providing input on learning objectives, training methods, and activities, as well as giving feedback on the VR-based training environments. DECIDE is a European
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, switch smoothly between tasks, and are open to new insights. Results-oriented: You work towards goals, make clear agreements, and commit to achieving objectives on time and with quality, even when faced
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their PhD, and seek employment as a (tenure-track) assistant professor. Required profile Candidates should have a strong interest in finance, but not necessarily an MSc or MPhil degree in finance since
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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related field. You demonstrate a strong interest and a proven track record in one of the abovementioned fields. You have a strong background in quantitative empirical data analysis methods, such as
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-organization of active particles. Fabricate and characterize light-driven microswimmers. Use advanced optical microscopy and particle tracking to analyze their motion and interactions. Investigate emergent
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profile: The ideal candidate will have: A PhD in biology, cognitive science, or an adjacent field (e.g. biomedicine, computer sciences); A strong academic track record, including high-quality publications
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qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented by publications at first-tier conferences and journals (e.g., NeurIPS
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Mathematics and have a proven track record in one of the directions: operator algebras with a focus on von Neumann algebras, operator spaces, quantum Markov semigroups, analytical aspects of quantum information