77 algorithm-"Multiple"-"U"-"Simons-Foundation" "Prof" positions at University of Cambridge
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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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Fixed-term: The funds for this post are available for 22 months in the first instance. Applications are invited for a post-doctoral research associate to work in the group of Prof. Hugo Bronstein
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the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
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fast reactor (SFR) and gas-cooled fast reactor (GFR) designs closer to commercialisation. The projects bring together multiple research and industry partner organisations across Europe. The post-holder
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pivotal role in analysing large-scale genomic and clinical data, applying cutting-edge algorithms, and collaborating with renowned experts in the field. At PBCI, we believe in fostering a collaborative and
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Engineering and a strong background in experimental magnetism. The position, based within Prof Jason Robinson's research group at the Department of Materials Science & Metallurgy, is part of the project
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in our mission to develop clinically useful algorithms, drive high-impact publications, and pave the way for personalised breast cancer treatments. Analyse data from cutting-edge technologies
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Health and co-Director of GHI, Prof. Ravi Gupta, to deliver Cambridge's contribution to the GHI. Providing project management and strategic support you will assist in ensuring that project deliverables
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equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in