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a 8 fs laser setup and generate structural light from it. You will work collaboratively within the team at Imperial College. You will hold a PhD in Physics (or a closely related quantitative
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successful you will have: A PhD (or equivalent professional experience) in a discipline relevant to responsible AI, including computer science, AI, data science, science and technology studies, law, public
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infrastructure systems under uncertainty. We are seeking a Research Fellow to develop advanced computational methods for the reliability and robustness assessment of structural and infrastructure systems. The role
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professional research environment characterized by its well-established international profile. The institute has 30 research groups with a research staff of 200, of which 60 are PhD students. Read more about MBW
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on the candidate's qualifications and the needs of the institute. The research fellow must take part in the faculty’s approved PhD program and is expected to complete the project within the set fellowship period. The
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of solvents and metal nanoparticles (MNPs). Such irradiation processes occur over a wide range of time and length scales and so we are developing a range of theoretical and computational approaches that bridge
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Candidates are expected to meet the following requirements PhD (or near completion) in Chemical Engineering, Mechanical Engineering, Physics, Computer Science, or a related discipline. Demonstrated experience
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or human-computer interactions studies. The focus of the PhD-thesis needs to contain knowledge areas such as learning theory, cognitive theories with applications on studies of learning, design of learning
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successful you will have: A PhD (or equivalent professional experience) in a discipline relevant to responsible AI, including computer science, AI, data science, science and technology studies, law, public
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and