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Field
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Job Description Are you motivated by physics challenges that, if they are solved, may have a large impact on what science can be done in the future? Do you master the principles of optics? Are you
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science to varied audiences. Dr Luppi is committed to developing trainees' careers; see his Editorial, "Ten simple rules for aspiring graduate students": https://doi.org/10.1371/journal.pcbi.1009276
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opportunities for collaboration within Neurobiology and across Duke, including Biomedical Engineering, Neurosurgery, Psychology and Neuroscience, Computer Science, and the Duke Institute for Brain Sciences
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: M.Sc. (or equivalent) in Robotics, Communications/EE, Computer Science, Control, ML/AI, Mechatronics, or Applied Mathematics; strong analytical and writing skills; solid programming and mathematical
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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research
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Qualifications Candidates must hold a Ph.D. in a quantitative field, such as statistics, biostatistics, computer science, or a related discipline. Success in this position requires strong quantitative
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degree in the field of Physics, Meteorology, Computer Science, or any other similar area. MSc students near the completion of their degree are also encouraged to apply. The candidate should have
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be in advanced courses in cognitive science or design, or in a field of central relevance to cognitive science or design (such as Science and Technology Studies, STS, and Human–Computer Interaction
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in
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-quality supervision, and room to grow, both as a researcher and as a person. The Robotics and Artificial Intelligence subject, RAI, at the Department of Computer Science and Electrical and Space