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/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing and machine learning. Tasks: modeling and simulation of near-memory computing
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. The professorship will be part of the Institute for Large Area Microelectronics and is associated with the management of the Institute's own 500 m² clean room facilities ( https://www.igm.uni
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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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German Cancer Research Center in the Helmholtz Association (DKFZ) | Freiburg im Breisgau, Baden-Württemberg | Germany | about 18 hours ago
Faculty Positions, Genetics and Genomic Sciences New York City, New York (US) Postdoctoral fellow San Francisco, California Postdoctoral Researcher in Computational Proteomics and Machine Learning Odense, Fyn (DK)