284 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Postdoctoral research jobs in United Kingdom
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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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, 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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For information on how to apply, visit: http://www.crick.ac.uk/careers-study/clinical-fellows/postdoctoral-clinical-fellows
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interpretation of data. Collaborate with partners within the project and others as appropriate The post holder will join the Microwaves & Antenna Engineering Group (https://microwaves.site.hw.ac.uk/) and will be
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| Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.03.2032 Reference no.: 5115 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique
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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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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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and team, please visit our homepage: https://sites.google.com/view/pierregermainmaths/main . As a team, we value a positive, inclusive, and respectful work environment. In our regular group meetings, we
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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