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good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience with large-scale
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Academic staff The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty of future
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equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information
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: generative models for explainable patient representations, multimodal data fusion, vision-language models, and anomaly detection. Also includes student supervision and EU project coordination. Requirements
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The sociology department at the John F. Kennedy Institute teaches and studies the political economy of the United States in comparative and historical perspective combining data-driven computational
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2 Apr 2026 Job Information Organisation/Company Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke Research Field Biological sciences » Nutritional sciences Researcher Profile Recognised
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1 Apr 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 19 Apr 2026
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to academic mentoring Participate in field research activities in collaboration with partner universities in the Global South Conduct and coordinate primary data collection (e.g. case studies, surveys
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5 Apr 2026 Job Information Organisation/Company TU Freiberg Research Field Mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 4 May 2026 - 23:00 (UTC) Country Germany
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 5 days ago
testing models using data from direct numerical simulations and experiments. Investigating whether machine learning can identify efficient control strategies for turbulent flows. Studying