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10 Jul 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 10 Aug 2026 - 23:59
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29 Jul 2026 Job Information Organisation/Company Technische Universität München Department School of Social Sciences and Technology Research Field Philosophy » Philosophy of science Anthropology
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• Education: Master's degree in Automation, Electrical Engineering, AI, or Energy. • Skills: Modeling (Python/Matlab), AI (PyTorch/TensorFlow), signal processing. • Qualities: A passion for experimentation (HIL
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the National Institute of Information and Communication Technology (NICT ) in Japan. Profile and requirements: MSc degree focusing on optical engineering, photonics, physics, electrical engineering
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degree (or equivalent) in Applied Mathematics, Systems and Control, Operations Research, Industrial Engineering, Electrical Engineering, Physics, or a closely related quantitative field. Strong background
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scenarios that lie beyond the range of historical observations and the current climate, so that we can describe the effects of climate change and the impact to the financial sector? Are you our new colleague
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-friendly software tool, based on state-of-the-art machine learning models [1], that can predict the outcome of HFNC therapy in individual patients with higher accuracy than current clinical indices, early in
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)uptake of physical activity often fails to materialize, illustrating that current (p)rehabilitation strategies do not effectively promote physical activity. Nevertheless, sufficient physical activity is
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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validate AI-generated scenarios against current state-of-the-art urban planning tools to identify and mitigate biases. Develop methodological recommendations for the societal readiness of technology in urban