34 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" positions at University of Tübingen
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06.03.2026 Application deadline : 30.04.2026 The Department of Mathematics of the Faculty of Science at Tübingen University invites applications for the position of Tenure-Track Professor (W1 to W3
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applications for the position of Professor (W3) for effective teaching and learning in subject didactics (f/m/d) to commence as soon as possible. The professorship is intended to advance internationally visible
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Documentation of the developed software Your Profile University degree in computer science or a related field Strong skills in Java and Spring Boot Experience in developing HTTP REST APIs Confident use of Git
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teaching experience. The appointment prerequisites of § 51 LHG apply. In the course of the contract, the W1 professor is expected to attain the research and teaching achievements that will qualify him or her
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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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. The appointment prerequisites of § 51 LHG apply. In the course of the contract, the W1 professor is expected to attain the research and teaching achievements that will qualify him or her for an appointment as a
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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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physics, as well as by committing to organizational and implementation-related tasks within the Excellence Cluster. Further information about the Excellence Cluster can be found at: http://www.ml-in
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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