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the Gravimetric Atom-Interferometer (GAIN) - prepare, optimize and use GAIN for comparison measurement campaigns - improve GAIN by implementing new technologies which also enable new measurement modes and
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industry to employ quantum technologies to address challenges in, e.g., environmental protection and the optimal use of natural resources. Specifically, this project will use atom Interferometry
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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding
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harms often trigger complex processes of negotiation that can reshape reflexive forms of cultural identity and newly imagined or created lifeworlds. They raise the question of how to build a shared future
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to equity and diversity and actively promotes equal opportunities. Equally qualified candidates with disabilities will be given preference in the hiring process. The University of Tübingen is committed
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relationship with an applicant are excluded from the evaluation process. Applications are assessed on the basis of academic excellence, the quality of the proposed research project, and the applicant’s
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essential for flagellar protein export, but its presence ensures a robust and efficient assembly process. The project combines bacterial genetics, biochemical approaches, and super-resolution microscopy. Your
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in the hiring process. The University of Tübingen is committed to increasing the percentage of women in research and teaching and thus encourages women with adequate qualifications to apply. Employment
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can be found here: https://hu.berlin/ETRL . Information pursuant to Art. 12, 13 DSGVO on the processing of personal data at Humboldt-Universität zu Berlin within the framework of job advertisements can
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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