47 computer-"https:" "https:" "https:" "https:" "Dr" "UCL" positions at University of Tübingen
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, ecological, immunological, compound-focused, computational, and clinical research. To complement our research activities, we are seeking highly motivated scientists with an outstanding scientific track record
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Biology and Metabolic Engineering (m/f/d, E13 TV-L, 65%) to be filled as soon as possible. The position is initially limited to three years. The research group headed by Prof. Dr. Hannes Link
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Genome Engineering and Host-Pathogen Interactions (m/f/d, E13 TV-L, 65%) to be filled as soon as possible. The position is initially limited to three years. The research group headed by Prof. Dr. Hannes
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guidelines for tenure review under the following link: https://uni-tuebingen.de/en/12271 . There you can also find information on this employment category. Those who have completed a habilitation will be
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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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Environment Staff units Gender equality Back Gender Equality Representative Equity Team Beauftragte für Chancengleichheit Central Institutions Back Welcome to the Botanical Garden Dr. Eberle Zentrum für
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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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with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700. Questions
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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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for 2 years The research group of Dr. Shahram Eivazi at the University of Tübingen is working on the Autonomous Design Systems and Embodied Intelligence, leveraging generative models such as diffusion