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: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof
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) at Liverpool John Moores University, UK. LOOM enjoys an international research reputation on maritime risk studies, https://www.ljmu.ac.uk/research/centres-and-institutes/loom . In return, we offer an excellent
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organising of the research programme and/or specific research project • Co-ordinate own work with others to avoid conflict or duplication of effort • Knowledge of the protected characteristics
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better world and Shaping a Sustainable Future . Read more about working at Aalto:https://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi About
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Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC
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to support the University’s strategic objectives. The role will also work collaboratively with both technical and design teams to plan and execute successful delivery of new products. Please refer to the job
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Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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to the CASC Fellowship Application System (FAS) at the following link: https://app.casc.cam.ac.uk/fas_live/ccnsecrf/ Informal enquiries should be addressed to Dr Daria Frank (Secretary to the Research
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programme that is technique-agnostic, impact-driven, and unafraid to push boundaries. We welcome candidates with a PhD in a relevant discipline and a strong record of research excellence. Enthusiasm for cross