26 data "https:" "https:" "https:" "https:" "INESC TEC" uni jobs at University of Tübingen in Germany
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given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700 Please submit your application via
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candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system may be found here: https://uni-tuebingen.de/en/213700
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12.02.2026 Application deadline : 15.03.2026 The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen offers a position as Research Data Steward
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16.02.2026 Application deadline : 02.03.2026 To implement the data-driven research agenda of the Cluster of Excellence GreenRobust (EXC 3099), we are seeking, at the earliest possible date, a Data
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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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. For further information on EXC 2124 please visit: https://www.controlling-microbes.com . The selected candidates will obtain attractive startup packages for six years. This is a fixed-term position ending
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integrate relevant metadata into the bridgehead. Based on this, an HTTP REST interface will be developed that allows authorized clients to query information in a structured and standards-compliant way
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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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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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) at the Department of Geosciences starting as soon as possible. The preferred candidate should have carried out research in statistical modelling of human fossil, molecular, cultural and / or environmental data