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, artificial intelligence (AI), machine learning, and computation have emerged as powerful digital technologies for creatively generating new design ideas and rapidly advancing formgiving methods within
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by proof assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous
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range of fields including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems
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including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems, and modelling and
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characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely related field. Strong software development and programming skills, with
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artificial intelligence What we expect A PhD (or equivalent) in Electrical Engineering, Photonics, Physics, Materials Science, or a closely related field. Demonstrated or clearly emerging ability to conduct
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in teams of scientists and support staff with competences spanning a wide range of fields including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure
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requirements The candidate will participate in research and teaching activities within the areas of software and artificial intelligence. The position requires a master’s degree within a relevant area (e.g