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Field
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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: “Optimizing microwave plasma-based reduction of metal oxides” under the supervision of Prof. von Keudell, Chair for Experimental Physics – Reactive Plasmas at the Faculty of Physics and Astronomy, Ruhr
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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Profile: You are currently enrolled in a Master’s program in engineering, energy systems, industrial engineering, or a related field. You are also characterized by: Strong interest in electricity markets
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Positions Application Deadline 30 Apr 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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parameters Documentation, interpretation, and scientific classification of the results Your Profile: Currently pursuing a degree in a relevant field such as energy engineering, mechanical engineering, computer
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07.04.2026, Academic staff PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project focuses on developing PINN-based simulations
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Joint Univers. Professorship for “Sustainable polymer matrix composites at TU Hamburg” combined with
, property optimization, and aging-driven interfacial degradation. The aim of the research program is to devise materials innovations that support the transition from single-use high-performance PMCs