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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Aachen Date: Oct 13, 2026 BT/MT: »Deep learning and machine learning in
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Darmstadt Date: Sep 8, 2026 Master Thesis Machine Learning for retired Lithium
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden-Württemberg | Germany | 2 months ago
Software Developer / Computer Scientist (m/f/d) specialised in AI and Machine Learning EDV & Informatics Heidelberg Astronomy & Astrophysics Job Code: 421 Job Offer from August 01, 2026 The Max
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Master Thesis - Decoding Occupancy: Classifying User Activity from Building Power Consumption with Machine Learning At the Institute of Climate and Energy Systems Engineering (ICE-1) we focus on the
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Independent Junior Research Group Leader (m/f/d, E14 TV-L, 100%) on Machine Learning Methods for Des
, 100%) on Machine Learning Methods for Des Employer University of Stuttgart Location Stuttgart, Baden-Württemberg (DE) Salary German public-sector collective agreement (TV-L, Tarifvertrag für den
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background in machine-learning and FPGA programming and be familiar with mixed-signal integrated circuit design.
What we offer:
- The possibility to
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Karlsruhe Date: Sep 15, 2026 Thesis: Imitation Learning for Humanoid Robots
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Stuttgart Date: Oct 18, 2026 Master Thesis - Reinforcement Learning for
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<span lang="en">Leipzig University</span> | Leipzig, Sachsen | Germany | 1 day ago
energy that drives the particles
- Track hundreds of interacting particles with machine-learning methods and test fundamental thermodynamic bounds on control
- Work closely with the Tel
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a