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Field
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degree in chemistry Documented experience in synthetic organic chemistry Fluent English language skills German language skills are a benefit but not a must Selection process The formal application should
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of the requirements to the Doctoral Program for your discipline at the University of Göttingen: https://www.uni-goettingen.de/en/54551.html Fluency in written and spoken English (the RTG’s working language); advanced
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during the application process: https://portal.mytum.de/kompass/datenschutz/Bewerbung/ By submitting your application, you confirm that you have taken note of TUM's data protection information. Application
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-supervised by Prof. Nicolas W. Jager at TU Berlin. For more information on the project, see https://sustainability-governance.net/2026/06/29/erc-advanced-grant-gap… . Location Leuphana University Lüneburg is a
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Excellent university degree (Master’s) in Electrical Engineering, Physics, Applied Mathematics, or a related discipline Strong motivation for interdisciplinary research at the interface of energy systems
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. We invite applications
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-processing. A background in physics or engineering, ideally with some experience in laser optics, digital signal processing, and electronics, is an advantage. More about the Ring project can be found
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past datasets within the URBank (https://urbank.earth ) initiative. The full-time position will be for a period of 3 years, with the possibility of a 1-year extension, and based in Jena, Germany. The
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are an advantage Please feel free to apply even if you do not yet meet all the required skills and qualifications. We may be able to provide training for these during the onboarding process. Our Benefits for You We
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for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and deep learning Experience