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partners at CASUS (HZDR), TU Bergakademie Freiberg, and TU Darmstadt Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Chemical Engineering, Environmental Chemistry, Data
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking two motivated PhD candidates to develop a novel multi-scale
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, and theory groups to optimize water electrolysis using the knowledge obtained in the project The following publications are related to the work to be performed within this project: doi.org/10.1039
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content ENWAT (Environment Water) is facilitated by the Civil and Environmental Engineering Sciences Department
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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning
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Degree German doctoral degrees covered by LogDynamics: "Dr-Ing": Doctor of Engineering "Dr rer nat": Doctor of Natural Science "Dr rer pol": Doctor of Economics "Dr jur": Doctor of Laws Course
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Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
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the life sciences, medicine and related disciplines such as medical engineering, veterinary medicine and epidemiology. The doctoral candidates work closely with a thesis advisory committee to define
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network adaptation is crucial for optimal perfusion. In living systems, network architecture constantly changes in response to environmental stimuli towards uniform flow to optimize transport. Combining