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. The research will be undertaken within the MIND Research Group (https://www.physics.ox.ac.uk/research/group/magnetism-intelligent-devices-mind ) at the Department of Physics, University of Oxford, under
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, and complete your doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering Contribute to teaching duties as part of your doctoral studies Your Network and Team Currently, our research
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Funding for: Competitive Worldwide Funding Funding amount 4 year University Scholarship starting 27/28 academic year. Minimum tax-free stipend at the current UKRI rate (for 2025/26 standard stipend
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imperial conquest; the intersection of military conscription, coerced service, and slavery; slavery's role in the logistics, supply chains, and infrastructure of ‘Long Nineteenth Century’ armies
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is suited to candidates with a PhD awarded or close to completion (or equivalent experience), in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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join the internationally recognised EnDROIDS programme (https://endroids.ico2s.org ) and become part of a highly interdisciplinary team of computer scientists, molecular biologists, DNA nanotechnologists
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-friendly software tool, based on state-of-the-art machine learning models [1], that can predict the outcome of HFNC therapy in individual patients with higher accuracy than current clinical indices, early in
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the work aligns with your goals and aspirations. For more details see https://binyshlab.com/positions/ What will you do? Conventional robotic bodies rely on computationally intensive centralized control and
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laboratory Publish and present your results at leading international venues, and complete your doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering Contribute to teaching duties as part of