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would be desirable: - practical experience with ultra-cold quantum gases and/or atom interferometry - experience in computer aided design (preferably Autodesk) - programming skills
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(except for the completed GIGA application form) to: German Institute for Global and Area Studies (GIGA), Neuer Jungfernstieg 21, 20354 Hamburg, Germany Email: [email protected] (email
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researcher in Computer Science, Data Science, Human-Computer Interaction, Psychology, Empirical Educational Research, Learning Sciences, Cognitive Science, or related disciplines who is eager to contribute
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Alfried Krupp Wissenschaftskolleg Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 2 months ago
electronically via the application form. Where to apply Website https://www.wiko-greifswald.de/en/application-fellowship-2025/2026-3/ Requirements Research FieldAllEducation LevelPhD or equivalent
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, 12489 Berlin), Unter den Linden 6, 10099 Berlin or preferably in electronic form as a single PDF file to [email protected] . Required application documents: - letter of motivation
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://en.wikipedia.org/wiki/Rostock https://www.uni-rostock.de/en/ https://www.physik.uni-rostock.de/en/ https://www.inf.uni-rostock.de/en/life-light-matter/ Interested candidates should send an email along with a
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: Newtonstr. 15), Unter den Linden 6, 10099 Berlin or preferably in electronic form as a single PDF file to [email protected] . Required application documents: - letter of motivation - tabular
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RPTU University Kaiserslautern-Landau | Kaiserslautern, Rheinland Pfalz | Germany | about 2 months ago
referees. Further information about our research can be found at https://www.physik.uni-kl.de/eggert/ and https://ischneider.physik.rptu.de/ . Please submit your application via email to ischneider
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Form or should send an email with their enquiry to [email protected] , and the DAAD will facilitate the contact. Documents that are not yet available by the application deadline (e.g. the letter of
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analysis, ideally using Python-based tools and frameworks, with familiarity in areas such as statistical modelling, machine learning, computer vision, or optimisation approaches for experimental systems