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Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
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cookie and refresh page to watch video, or click here to open video) PhD position in Quantum Technology There is a vacancy for a PhD Research Fellow in Quantum Technology at the Department of Informatics
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YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD Research Fellow in Experimental Subatomic Physics There is a vacancy for a PhD Research Fellow in Experimental
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There is a vacancy for a PhD Research Fellow in Experimental subatomic physics at the Department of Physics and Technology (IFT). The position is for a fixed-term period of 3 years with the possibility of a
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that influence global ocean mixing, heat and nutrient distribution, and climate dynamics. Despite their importance, these currents remain poorly understood due to their intermediate scale and intermittent nature
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applications for a Research Fellow to join a BBSRC-funded project exploring mechanosensing and flight in insects. This exciting role is based in the Comparative Biomechanics Group at the University of Leeds
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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
Fellow will hold a PhD (or be waiting conferment) in an area of the social or natural sciences that is relevant to forest governance and/or the financing of forest carbon schemes. Ideally the person
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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, distributional impacts of policies, socio-economic modelling, or quantitative policy evaluation. Research with direct implications for public policy is preferred, particularly in areas related to energy, social
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing