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experts, using machine learning and modern analytical techniques to build high‑impact, Python‑based products that guide strategic decision‑making across the institution. Key responsibilities: Partner with
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machine learning-based information systems, big data analytics, sociotechnical criteria of AI, and data quality. What to expect Research: You will collaborate on ongoing research topics and projects as
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community analyses Experience with machine learning approaches, including the ability to apply relevant statistical models and predictive analytics to biological datasets, is highly advantageous. Hands
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performance data, analysis and reporting High-impact analytics role with senior stakeholder engagement Coordinate global rankings data, submissions and performance insights The role Full Time, Continuing Level
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predoctoral 52 Faculty of Chemistry Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5430 Explore and teach at the University
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Predoctoral 52 Faculty of Chemistry Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5457 Explore and teach at the University
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to effectively administer the Learning Management System (LMS) and associated digital learning tools. Provide technical support to University faculty, staff and students. Provide accurate LMS data analytics and
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week, as per schedule. Job Description Typical duties include but are not limited to: Teach undergraduate classes in Computer Information Systems or Business Analytics Other Duties: Performs other job
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Under the general direction of the Director or designee, the Sr. Healthcare Data Analyst needs to be insightful, detail-oriented professional with excellent analytical skills who is able to apply
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21.04.2026 Application deadline : 08.05.2026 At the Institute of Education at the University of Tübingen, a position as Research Associate in the area of learning sciences (m/f/d, E13 TV-L, 75%, 4