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Field
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: Completed, or soon-to-be completed MSc in the biological sciences or different fields in the natural sciences (e.g. computational, mathematical, earth or marine sciences) with a strong interest in ecology and
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City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution. The combined university is now one of the largest higher...
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the operation of contemporary and future plasma-based sources of extreme-ultraviolet (EUV) and beyond-EUV light for nanolithography. In our group’s research we, for example, uncovered the quantum origins
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description How fast can magnetic order be established in quantum magnetic systems, and on what timescale do short-range magnetic correlations evolve into long-range ordered spin states? While equilibrium
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vehicles or robotic systems. Additional training in machine learning methods is an advantage. Solid programming skills. Strong skills in mathematics, excellent capacity for mathematical formalism, and
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team, ensuring that the proposed mathematical models adequately capture market mechanisms, regulatory frameworks, and economic incentives relevant to Local Energy Communities. Main tasks: Provide
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and distributed systems, telecommunication engineering, computer science with a networking focus, or equivalent, with a strong background in theory, ML/AI, and mathematics Your master’s degree must
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degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or
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Engineering, Applied Mathematics, Scientific Computing, Computer Engineering, or a related discipline. Excellent academic results. Strong background in power systems and an interest in system dynamics and
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-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly