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programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
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parametric reduced order models of operating wind turbines, information contained in their differential geometry and safe data-driven control/reinforcement learning tools jointly developed with the second PhD
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strong interest in systems and control, model predictive control, and energy systems. Some experience in basic software engineering and implementation of algorithms in real-world experiments or industrial
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Sklodowska-Curie Initial training network (ITN) project entitled UNVEIL. The position will be based in France, at the C2RMF in Paris, and SATIE in Gif-sur-Yvette (near Paris). The PhD Enrollment is Université
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using data-driven methods You do not need to be an expert in machine learning at the start of the PhD, but you should be keen to develop rigorous ML and software engineering skills alongside deep
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Researcher (R3) Leading Researcher (R4) Positions PhD Positions Application Deadline 5 Apr 2026 - 23:00 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer
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. (phenomenological) models You are self-driven and able to work independently but also happy to contribute to a team effort in an enthusiastic group of scientists and engineers working on a common theme. You are
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for converged Wireless-opTical cOnfiguratioNs”. The research will cover three key pillars: Artificial-Intelligence (AI)-driven models in the access domain, focusing on CF technology to efficiently acquire Channel
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX