244 computational-physics "https:" "https:" "https:" "https:" PhD positions in Germany
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personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science, maths or a similar field A
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The Section Fundamental
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in the application process at: https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im-bewerbungsverfahren . Submitted application documents will be
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, with the goal of obtaining a doctoral degree within four years. Additionally, candidates are expected to contribute to and actively participate in the academic program of the RTG. Depending
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on conferences and in publications Requirements Master’s degree in physics or chemistry, computer science or equivalent Interest in Physics and Machine Learning Good written and spoken English Ability to work both
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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY-EMMYPHD [#27461] Position Title: Position Type: Student programs Position Location: Hannover, Lower Saxony
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Manufacturing of catalyst layers and membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical characterization of MEAs prior to, during, and after
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 3 months ago
ecology, evolutionary biology, molecular biology, quantitative behavior, computer vision, and physics of behavior. We envision this project to primarily involve laboratory-based investigations, although
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» Applied physics Technology » Medical technology Engineering » Biomedical engineering Computer science » Modelling tools Economics » Health economics Biological sciences » Other Researcher Profile First
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experience and knowledge in either of the following: materials science, biomedical engineering, chemistry, chemical engineering, materials engineering, engineering physics, applied mathematics, computational