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then pursue M.D. or Ph.D. programs around the country, or pursue biomedical startup or industry careers. Responsibilities Research 80% - Run multiple projects in parallel, in collaboration with PhD
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
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skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming
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. And it also allows you to operate multiple silicon carbide quantum systems in parallel, for the first time. (c) The final step is to demonstrate on-chip entanglement among two colour centres based
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. or Ph.D. programs around the country, or pursue biomedical startup or industry careers. Responsibilities Research 80% - Run multiple projects in parallel, in collaboration with PhD students and postdocs
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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foundational questions. To benefit from this revolution in full, it is of utmost importance to influence the related development with a highly ambitious scientific programme underpinned by robust Exascale-ready
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As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred Design (PCD
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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via joint activities with EU and UK cybersecurity hubs, preparing you for careers in trusted electronics, AI security, and national critical infrastructure protection. Graduates from this programme will