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Introduction Are you passionate about personal development, organisational behaviour, and/or change management, and an enthusiastic and excellent facilitator and educator in this field? Then we’re looking
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Oversight Based on a Multidimensional Conception of Fairness”, complementing the PI (Mahsa Shabani) and a PhD candidate. The project runs from 2026 to 2031. The main aim of the overall project is to develop a
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under dynamic workloads, strict real-time constraints, and limited computational resources remains a key technical challenge. This PhD project addresses these challenges by developing efficient
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. Information Open Science is an umbrella term encompassing, among other elements, the sharing of research data and code to facilitate verification and further development of research. It is widely endorsed by
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approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models with emphasis on: Data-driven practical
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(or not) of their owned products? Are you enthusiastic about developing and empirically testing innovative (marketing) ways to motivate consumers towards repair? If so, then we have the perfect opportunity
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on performance during Fischer-Tropsch synthesis under intermittent conditions using operando scanning probe microscopy, developed in our group. Other characterization methods such as low-energy electron
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work closely in this context with colleagues from Private Law, Corporate Law & Labor Law. Together we work on improving traditional regulatory frameworks in light of new developments that have an impact
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duration in gene regulation — bridging statistical physics, stochastic processes, and real biology. Job description During the development of an organism, gene regulation allows proteins to be expressed so
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, you play a key role in developing and applying statistical and data science methods in the social sciences. Your job This position consists of 60% teaching and 40% research. Until the end of 2030, with