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Applicants are invited to apply for one Marie Skłodowska-Curie Doctoral Network Researcher position funded by Horizon Europe Marie Currie Doctoral Network grant of the Commission of European Council
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Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims
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of equilibrium dynamics using tensor networks to solve partial differential equations, with applications to many-body quantum systems, as well as computational fluid dynamics and plasma dynamics. The successful
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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reactions. The work will extend ChemZIP to handle catalytic chemistry, develop a reduced-order 1D network model linking reaction and pressure-drop effects, and use it to optimise catalytic structures within
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of the next phase of our Younger Generations Programme are to maximise outputs from the first phase, consolidate and extend ongoing research, and establish a schools health research network. Core activities to
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to investigate the role of brain network dynamics for adaptive behaviour. Our research programme bridges work across scales (local circuits, global networks) and species (humans, mice) to uncover
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of the next phase of our Younger Generations Programme are to maximise outputs from the first phase, consolidate and extend ongoing research, and establish a schools health research network. Core activities to
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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, consolidate and extend ongoing research, and establish a schools health research network. Core activities to deliver these aims include analysing data and producing outputs from our ongoing REACH programme