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Field
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from problem definition through to validated implementation. Develop solutions using machine learning, deep learning and computer vision, and independently implement key components in Python. Develop
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to further improve and extend MLLs as part of a large project to image, understand and ultimately control electron dynamics in molecular systems. To do this, we are combining concepts from X-ray microscopy
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curriculum vitae, documentation of academic degrees and certificates as well as a list of publications only in electronic form as a single pdf-file, not larger than 10MB to the Dean of the Faculty
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 2 hours ago
cover letter), preferably by email (as a PDF document), quoting reference number “VC013”, by October 2, 2026, to: [email protected] Dr. Viktor Čolić Max Planck Institute for Chemical Energy
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No. SE 2026/9 The Research Group Hybrid Material Systems is looking for Postdoc (f/m/d) Your Tasks You analyse the chemical and electronic structure of modern semiconductors and interfaces (AR-UPS, CFS-YS
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, Ludwig-Maximilians-Universität München, using the following link https://www.efv.verwaltung.uni-muenchen.de/md4 no later than 30 September 2026 and in parallel in electronic form exclusively
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institute website: https://www.fz-juelich.de/en/pgi/pgi-3 and the research group in which this position is located: https://www.fz-juelich.de/en/pgi/pgi-3/groups/multitip We work on the very latest issues
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passionate about AI research and eager to make a real-world impact, we want to hear from you! Your Job Work on a wide range of computer vision and machine learning methods and applications focusing
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. Current R&D goals of PITZ include improving the electron source brightness beyond state of the art for X-ray Free Electron Lasers as well as applications of high brightness beams, e.g. for most modern
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, Department of Mathematics, Prof. Dr. Gavril Farkas (located: Rudower Chaussee 25), Unter den Linden 6, 10099 Berlin or preferably in electronic form as a single PDF file to [email protected] and cc