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Field
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. • Master's degree with excellent grades in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field • Very strong undergraduate and graduate record
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and (2) develop learning rules that are both technology-feasible and well-suited for machine-learning workloads. The project will consist among others of the following tasks: Investigate and design
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 20 hours ago
the SIMPLAIX consortium between the University of Heidelberg, Karlsruhe Institute of Technology, and the Heidelberg Institute for Theoretical Studies. The research will focus on generative models
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no deadline listed. Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Auditory Sciences: Physics and Engineering, Physiology and Therapy of Hearing
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning
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science, engineering, mathematics, physics, or related disciplines) Applicants holding a Master’s degree or expecting to complete it by January 2027 at the latest Motivated individuals eager to actively
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 2 months ago
Institute for Microstructure of Materials and Systems, Halle, to carry out research into novel atomically engineered materials for nanosystems - tackling grand societal challenges in the fields
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. Working across this entire pipeline provides a rare opportunity to shape a cutting edge imaging technology from its foundational concepts through to its biomedical use cases in complex biological systems