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growing biotech and gain direct exposure to early drug discovery. The team is developing and screening novel antibody therapeutics across oncology and autoimmune disease. You will contribute to preclinical
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. Your Role A key pillar of ECOWIND is bridging the gap between remote sensing technology and real-time turbine control. Your focus will be the development of a predictive capability that allows turbines
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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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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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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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screening platform for molecular profiling, with potential to bridge multiple applications and scientific fields. Previously, in collaboration with dsm-firmenich, we developed an automated system for stopped