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Management. Strong background in physics and mathematics, ideally knowledge in Air Traffic Management. Strong background in coding, preferably Python. Ability to learn independently and passion for research
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Develop soft, 3D-printed hydrogel bioelectronics for next-generation neural interfaces. Job description A 4-year PhD candidate position is available in the research group of Achilleas Savva in
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are seeking a PhD candidate for a 4-year contract to develop and apply computational models and video-based tools to capture hand movement and function with deployment in the home environment as the target
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physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum computing, including but not limited to spin
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scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods
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on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future
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: Engineering Hydrogen-Resistant Circular Steels (CIRHY)" which is a 6-year research and innovation project developing next-generation circular steels that can safely operate in hydrogen environments. By
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implications for both fundamental and medical sciences. Job requirements MSc degree (or nearing completion) in physics, biophysics, computational biology, or a related field. Strong programming skills (Python
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physics and building high performance imaging systems. She or he has a demonstrable interest in optics, signal processing, and mathematics or machine learning. The candidate should have an MSc degree in
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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics