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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 2 months ago
of the Free University Berlin and other research institutions. The Digital Humanities team seeks to appoint a Student Assistant (m/f/d) with a focus on Machine Learning or Data Science, up to 19 hours per week
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
for 4 years Software Developer / Computer Scientist (m/f/d) specialised in AI & Machine Learning, Ref. 421 to support the further development and commissioning of the Real-Time Control (RTC) system
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and the natural sciences. The Faculty of Mathematics, Informatics and Statistics invites applications for a Junior Professorship (W1) (for a period of 3 years) of Mathematics of Machine Learning
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for Philosophy of Machine Learning for Science (m/w/d) to commence as soon as possible. The tenure-track position is embedded in the Cluster of Excellence “Machine Learning: New Perspectives for Science
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19.08.2026 Application deadline : 15.11.2026 The Tübingen AI Center invites applications for two tenured full professorships (W3) in Machine Learning and Intelligent Systems (m/w/d), to start as
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 3 months ago
our laboratories in Mülheim an der Ruhr, we are looking for a Master’s Student (f/m/d) - Automation and Machine Learning in Electrosynthesis. The position is available immediately and is initially
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
jointly to further develop the strengths of the Cottbus–Senftenberg science hub and increase its visibility. Through innovative research and new teaching and learning formats, BTU is shaping the future: it
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08.06.2026 Application deadline : 15.07.2026 The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen offers several positions as Early Career
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uncertainty, since misclassifications can lead to poor energy management decisions or inappropriate building automation responses. The goal of this project is to design and validate a machine learning framework
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of reliability, efficiency, and resilience. Would you like to be part of this inspiring team? We look forward to receiving your application! Master Thesis Machine Learning for retired Lithium-Ion Cell Sorting (all