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TV-L, part-time 65%) in the DFG-funded Integrated Research Training Group (RTG) Beyond Amphiphilicity – RTG 2670: Self-Organization of Soft Matter via Multiple Noncovalent Interactions . The position
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Description At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13
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aims to revolutionize our understanding of molecular interactions at solid–liquid interfaces through innovative experimental approaches. By combining expertise in: Feedback controlled thermofluidic
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, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who
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of the expansion of offshore wind energy, including the design of wind turbines and wind farms, interaction with the offshore environment, regional planning, social and tech-economical questions ( https
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the membrane pores and their impacts on the removal of a variety of micropollutants, iii), investigation of membrane characteristics and selection criteria, and iv) design of membranes to achieve complete
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complex flow system with a focus on its interaction with wind turbines, providing essential insights to meet the global demand for renewable energy. We employ a multidisciplinary approach that includes free
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves