19 machine-learning-"https:" "https:" "https:" "https:" Postdoctoral positions in Germany
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opens the door to many new experiments. Through the ErUM-Data and LEAPS-funded proposals, we develop resource-efficient and reliable Al and machine learning methods to advance ML for photon science
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reconstruction and identification with modern machine-learning techniques, offering the opportunity to develop expertise at the interface of experimental data analysis and cutting-edge ML methods. About
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software involving machine learning to predict the occurrences of protein interaction sites (so called short linear motifs) in disordered protein regions and determine how they are created or modified
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machine learning or reinforcement learning applied to control systems is a strong asset Experience with accelerator technology, specifically photocathodes is an asset Excellent communication skills
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, Biotechnology, or a related field Employer BAM Bundesanstalt für Materialforschung und -prüfung Location Berlin (DE) Salary E 13 TVöD Closing date 18 Oct 2026 Website https://www.bam.de View more
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methods was launched within IT. The focus is to develop novel, efficient algorithms and methods to cope with the big amounts of data that require processing (incl. machine learning), as well as to
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design to implementation and commissioning Knowledge of machine learning or reinforcement learning applied to control systems is a strong asset Experience with accelerator technology, specifically
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, including competitive water adsorption (humidity) effects establishing AI-supported algorithms for material selection in close feedback loops with experimentalists machine learning for process implementation
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | about 2 months ago
activities in data-driven methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions