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inviting applications for a PhD Student (f/m/x) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray
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of the PhD topic (subproject A7- Reinforcement learning for mode choice decisions): This PhD project will develop and implement a Deep Reinforcement Learning (DRL) model for dynamic mode choice within
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of the application deadline. 2nd stage: BerGSAS will nominate the candidates selected for a scholarship to the DAAD. DAAD will make the final decision and will notify you accordingly. Please note that admission
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to an online interview within two months of the application deadline. 2nd stage: BerGSAS will nominate the candidates selected for a scholarship to the DAAD. The DAAD will make the final decision and will notify
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the candidates selected for a scholarship to the DAAD. The DAAD will make the final decision and will inform you. Please note that admission to doctoral studies and the receipt of a scholarship is subject to
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good verbal and written English communication skills as well as the absolute determination to submit the dissertation after 3 years and 9 months of research. What we offer: Pioneering Research
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interdisciplinary desire to learn and willingness to cooperate, openness for internationalization and diversity, very good verbal and written English communication skills as well as the absolute determination
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determination. Requirements: university degree (Master or equivalent) in chemistry; background in organic or inorganic molecular chemistry; an integrative and cooperative personality with high teamwork abilities
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such as NMR, UV-vis, IR/Raman, mass spectrometry and X-ray structure determination. Requirements: university degree (Master or equivalent) in chemistry; background in organic or inorganic molecular
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-based, stakeholder-related tools for the life cycle decision of products and based on this the matching of different actors from the areas of the circular economy, in particular reusing, repairing