222 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL" Postdoctoral positions in United Kingdom
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, for the interactive exploration of manuscript images and metadata. Iterative development of the AI architecture that is responsive to the requirements of the diverse range of humanities case studies led by faculty
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Materials Design. This environment will facilitate the development of new skills and the demonstration of creativity and leadership. Expertise in structure solution using powder and/or single crystal X-ray
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national gender equality charter, recognising the Department's innovative policies and practices. We are committed to the professional development of our staff by providing up to ten paid days annually
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the development of novel fluorination methods for the preparation of fluorinated molecules of strategic importance using readily available feedstock and cost-effective sources of fluoride including
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development Our Exeter Academic initiative supporting high performing
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framework to examine the origins, development, and consequences of patient engagement with antenatal drug use, iatrogenic disability, and reproductive health from the 1960s until today. The PI of the project
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framework to examine the origins, development, and consequences of patient engagement with antenatal drug use, iatrogenic disability, and reproductive health from the 1960s until today. The PI of the project
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Materials Science (SEMS) at Queen Mary University of London, you will join a dynamic, multidisciplinary team, providing an exceptional environment for career development in 2D materials and sustainable
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applicant will contribute to the development of novel mathematical and computational methods for image analysis and AI, with a particular emphasis on interpretable and uncertainty-aware approaches motivated