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WSI Quantum Sensing Group (Reinhard lab) 23.07.2020, Wissenschaftliches Personal The quantum sensing group at the Walter Schottky Institute of TUM is offering PhD and Postdoc positions to join our
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, clinicians, and computational biologists in Tübingen and within our international network (US, CH, NL) Key publications from our group Wimmers F, et al. Multi-omics analysis of mucosal and systemic immunity
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object handling, or related domains Hands-on experience with robotic hardware (e.g., robot arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and
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with: a motivation letter (max. 1 page), an academic CV, copies of certificates, list of publications (especially relevant for PostDoc candidates), as well as contact information of at least two
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Programmes Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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research collaborations with colleagues at the institute. Additionally, we expect postdocs to teach one course per semester. What we expect from you: An excellent PhD in Psychology, Education Sciences
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Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 15 Sep 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 39,83 Is the job funded
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The programme is...
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03.02.2023, Wissenschaftliches Personal Postdoc Position (m/f/d, TV-L E 12 position, for 15 months, extension possible depending on funding) in “Surface Chemical Physics and Molecular Nanoscience
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation