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Qualifications PhD in Electrical Engineering, Computer Engineering, Computational Science, Computational Engineering, Aerospace Engineering, Computer Science, Math, Physics, or related discipline. Experience
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learning, machine learning, AI, and specialized computer vision courses, as well as support curriculum development, academic leadership, and mentoring within the department. You will supervise PhD candidates
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substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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deadlines. Experience Essential: E1. Research experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2. Experience in machine learning
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potential at work, learn more about our employee value proposition here (You Belong Here ). The Division of Academic and Student Affairs is the place to work for values-driven faculty and staff who
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candidate for a full-time (100%) PhD position for 3 years. You will join the research group Power Electronics and Electrical Machines (PEM) at IEL, where we foster an open, inclusive, and collaborative
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an unnecessary discarding of generated power. This four year’s PhD position is aimed at using captured CO2 from point sources and hydrogen from water electrolysis to generate carbon-based base chemicals and fuels
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and economic use of renewable electricity without an unnecessary discarding of generated power. This four year’s PhD position is aimed at developing multiphase models to predict the dynamics and
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research in formal verification, machine learning and artificial intelligence system assurance. The successful candidate will develop new techniques and tools for analysing, verifying and improving
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials