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Field
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mathematics and physics-enhanced machine learning . Requirements Master in Informatics, Mathematics, or a related field (e.g. Computational Science/Engineering) Strong knowledge of machine learning, Scientific
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machine learning, medical imaging, and security venues and journals. Your profile Master's degree in computer science, physics, electrical engineering, mathematics, or a related quantitative discipline
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 4 hours ago
as a private, non-profit research institute. HITS conducts basic research in the natural sciences, mathematics and computer science with a focus on the processing, structuring, and analyzing of large
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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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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 20 hours ago
the Leibniz Institute of Ecological Urban and Regional Development (IOER) and Dresden University of Technology (TUD). Doctoral fellows are admitted through a competitive process to a relevant TUD faculty with
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robustness against various types of jamming. Integrated Sensing and Communication (ISAC) systems are becoming a key enabling technology for next‑generation wireless networks. However, these systems
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for Manufacturing, Equipment and Service Engineering, Material and Process Engineering, Intelligent Manufacturing Systems. Key research areas are: Digital Transformation, Materials & Manufacturing Processes and
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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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simulations. Your Profile Excellent completed master's degree in physics, materials science, engineering or a related field. Good knowledge of solid state physics. Ideally, experience in the fields