83 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in Germany
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More information about the Institute of Immunology you can find here: https://www.vetmed.fu-berlin.de/en/einrichtungen/zfi/we06/index.html Job description: As members of the German Research
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
methods. Further information about the project, the research group, and the diverse additional opportunities for postdocs can be found on the website: https://zemki.uni-bremen.de . Your Responsibilities Co
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for behavioural monitoring and stress assessment • Work in an interdisciplinary, collaborative environment with access to advanced infrastructure • Receive structured training in infection biology, animal models
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM research group Structure
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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of Interfaces, TUM) and Prof. Willi Auwärter (Molecular Engineering at Functional Interfaces, TUM). Project: We aim to use the unique optical, photophysical, electrochemical, and structural properties
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of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins. Thereby, relevant mechanisms are identified, which allow optimizing
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participate in the university's self-administration and the structural tasks of the institute. You will be actively supporting our EV Powertrain team, which focuses on research related to high-voltage batteries
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures