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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
benefits, Cooperation agreements with daycare centers to help with childcare shortages, Company health management (back training, health day with various offers), Discounted sports offers from the Dresden
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, Data Science, or a closely related discipline Strong interest in interdisciplinary research at the interface of Artificial Intelligence, Data Science, and Life Sciences Excellent programming skills
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(university diploma or master's degree) in the field of geosciences, engineering or physics. Ideally, you have knowledge of numerical methods and experience with common programming languages (e.g. Matlab
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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research and development, including; Feasibility studies on contaminant removal in a solar powered electrodialysis process Establishment of the most suitable energy management scenario in collaboration with
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, chemistry, material science, chemical engineering or related disciplines Experience in the field of energy storage Knowledge of X-ray methods Experience with programming languages (ideally Python) Fluent in
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, chemistry, material science, chemical engineering, or related disciplines Knowledge of X-ray methods Experience in the field of energy storage Experience with programming languages (ideally Python) Fluent in
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academic supervision from Prof. Henkel. You will participate in the doctoral program of the TUM School of Management; after about a year, there is the possibility to apply for the School’s Academic Train-ing
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the identity and plasticity of regulatory T (Treg) cells, in the context of autoimmunity. The primary objectives include: • to compare central Treg cell identity and function programs between mice and men in
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English or German, according to the candidate’s preference. Full-time / part-time full-time Mode of study 50 / 50 online and on-site Programme duration 6 semesters Beginning Winter semester Application