279 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral research jobs in United Kingdom
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or further information, please contact: Dr Harriet Moore (HaMoore@lincoln.ac.uk ) You can find out more about working at Lincoln, and everything that we have to offer, at: https://www.lincoln.ac.uk
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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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on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12.00 midday 7 April 2026
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, socially grounded approaches to disease threats affecting animal and human health — learning from those who manage biological risks in everyday settings rather than relying solely on top-down models. Working
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to learn and work independently and as part of a larger team working on the transition to the circular economy and have the curiosity and motivation to address important real-world problems through rigorous
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the Department of Physics. Machine learning has made enormous progress during recent years, entering almost all spheres of technology, economy and our everyday life. Machines perform comparably to, or even surpass
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also have a chance to instruct Doctoral researchers and Master thesis candidates and develop towards a more independent position. Background and expertise We are looking for candidates who understand
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@cardiov.ox.ac.uk Georgia Broom – cvm_personnel@cardiov.ox.ac.uk The University of Oxford offers an attractive range of competitive benefits available to all staff for both work and personal life - https
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are currently under-represented at this grade. Appointments will always be made based on skills and experience aligned with the job description. For further information, please visit: http
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detection of comorbidity and multimorbidity patterns, https://aristoteles-horizon.eu / ) developing novel artificial intelligence (AI) powered tools to assess and manage multimorbidity in patients with atrial