310 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" Postdoctoral positions in United Kingdom
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
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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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Institute (FORRI) at Liverpool John Moores University. https://www.ljmu.ac.uk/research/centres-and-institutes/forensic-research-institute/related-research-groups/face-lab Informal enquiries can be made
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eligibility: https://www.gov.uk/skilled-worker-visa The University celebrates the rights of freedom of speech and academic freedom and is committed to maintaining and protecting these rights within the law. An
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of competitive benefits available to all staff for both work and personal life - https://hr.admin.ox.ac.uk/staff-benefits For informal enquiries about the post, please contact Ellie Tzima – ellie.tzima
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area. You will possess sufficient specialist knowledge in the discipline of neurodiversity to work within established research programmes. An experience in engaging in Human-Computer Interaction (HCI) based
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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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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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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