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E13 Job Description The successful candidate will join an interdisciplinary team focused on applying bioinformatics to personalized oncology. The primary objective is to unravel molecular pathways
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evaluation and promotion to the tenured position can be found in our guidelines for tenure review under the following link: https://uni-tuebingen.de/de/12131 . There you can also find information
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. Specifically, the PhD candidate is expected to contribute corpora preparation (collection and organizing the annotation), use machine learning approaches for irony detection, and testing for experimental and
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) in stellar astrophysics. The successful candidate will work on the Accretion process in Young Stellar Objects. The focus is on targets from the Hubble Space Telescope ULLYSES program for which optical
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-driven discovery of new physics experiments to test quantum-gravity and observe gravitational waves (examples here and here ) Inventing state-of-the-art AI-driven exploration, optimization, and search
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underlying the interim evaluation and promotion to the tenured position may be found in our guidelines for tenure review . There you can also find information on this employment category. Applicants for a
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) to optimize the production of bio-based products in E. coli and other industrially relevant bacteria. You can find more information about our group at https://www.linkmetabolism.com . Your tasks: Design and
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Research profile in machine learning (e.g. robustness, out-of-distribution/anomaly detection, fairness, explainability, uncertainty quantification) or AI applications in the healthcare domain Interest in