34 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "ASNR" positions at University of Tübingen
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. Candidates are expected to have a strong background in evolutionary theory and in computational approaches to human bio-cultural diversity and evolution. The successful candidate will take an active role in
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found in our guidelines for review under the following link: https://uni-tuebingen.de/en/12271 The successful candidate will be working in a highly collegial and family friendly work environment. The
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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Department, visit https://uni-tuebingen.de/en/faculties/faculty-of-humanities/departments/department-of-history/institutes/modern-history/homepage/. The position is funded for 2,5 years. The salary will be
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from equally qualified candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni
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-science.uni-tuebingen.de/ In terms of teaching, the professorship is expected to offer courses within the Department of Physics and also contribute to the international Master's program “Machine Learning
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established collaborations and access to state-of-the-art cryo-microscopes. Tübingen is an international, dynamic, and lively university town. For more details about the ZMBP, please visit: http://www.zmbp.uni
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in Computational Oncology (m/f/d, E13 TV-L, 100%) Position Details Start Date: negotiable, available immediately Duration: 3 years (initially) Working Hours: Full-time (100%) Salary: According
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Researcher in Computational Linguistics / Cognitive Science (m/f/d, E13 TV-L, 100%) The position will be filled for a fixed term of three years. Payment is at 100% of pay scale E13. The position is associated
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programme, please see https://uni-tuebingen.de/en/faculties/faculty-of-science/doctoral-studies/ and https://www.phd.tuebingen.mpg.de/imprs? Assessment Submitted applications will be reviewed by IMPRS