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-funded project. You will be part of an interdisciplinary team bridging the gap between machine learning and materials science to develop next-generation computing hardware based on nanoscale magnetic
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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity
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of the art 20,000m² Diamond Building, you’ll be inspired by what we can offer our Engineering students. We have world leading facilities in teaching and learning, with 15 specialist laboratories designed
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such shifts, explicitly accounting for the human in the loop. The project will use tools from information theory, machine learning and control to characterise how heterogeneous local data, sensor drift and
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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manufacturing activities. Escalate technical issues to appropriate senior staff. Under supervision, use a wide range of mechanical workshop techniques including, but not limited to machining, milling, CNC
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We are looking to appoint a Research Associate to contribute to the delivery of a research project on the politics of military labour association and military unionisation in Europe. The project
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innovative curriculum. In this full-time role, you will specifically contribute to the development and delivery of our experiential learning content within the integrated MPharm. Our programme offers students
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[email protected] . Criteria Essential or desirable Stage(s) assessed at A PhD (submitted, achieved or equivalent research/professional experience) in computer science, machine learning, medical
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Overview As a Senior Technical Fellow you will be responsible for projects in the Defence sector within the AMRC Machining Group. You will take overall responsibility for the technical outputs from