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08.04.2025 Application deadline: 15.05.2025 PhD Student (m/f/d) in Privacy-Preserving Rare Disease Analysis Location: University of Tübingen, Computer Science, Tübingen, Germany Duration: 3 years
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. We develop fast meteorological sensors (especially for our UAS), calibration methods and software for data analysis. Currently, we are looking for a PhD student. The tasks for the position in
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candidates will have: Experience or initial exposure to data analysis, machine learning and natural language processing. A curiosity-driven mindset, demonstrating systematic problem-solving skills, as
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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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Astronomy. Main projects include eROSITA, ATHENA, H.E.S.S., CTAO, eXTP, THESEUS, HERMES and GIFTS. We conduct data analysis and modelling of multi-wavelength observations of galactic compact sources
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development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering experiments. For more information, visit our web page: https://www.soft
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PhD Researcher in Theoretical or Experimental Pragmatics / Cognitive Science (m/f/d, E 13 TV-L, 65%)
robust formal and programming skills, as documented through course work or research projects. Rudimentary experience with experimental work and statistical data analysis, possibly also mathematical