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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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<span lang="en"> Helmholtz-Zentrum Hereon</span> | Geesthacht, Schleswig-Holstein | Germany | about 19 hours ago
Material and Process Design at the Helmholtz-Zentrum Hereon is offering a 4-year PhD position in the field of computational materials engineering, machine learning, and digital twins for advanced
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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
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quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation pathways
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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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, workshops, and other scientific events What you contribute An excellent academic record with a degree in Computer Science, Mathematics, or a related field, specializing in Machine Learning
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
), including uncertainty estimates. You will work on extending neural processes to large-scale, multimodal geospatial data, a setting that remains largely unexplored in current machine learning