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group specializes in experimental quantum technologies spanning quantum information processing, quantum communication, and precision sensing. In this PhD project, you will work at the forefront of solid
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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properties of cirrus, but we are currently limited by a lack of observational data. This project will fill that gap, using existing aircraft and satellite measurements to determine whether aircraft exhaust is
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online application system via the above 'Apply' link. Further information can be obtained by emailing Dr Gregor Leckebusch (g.c.leckebusch@bham.ac.uk ) and/ or Louise Harry (louise.harry@siemens.com
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to the Graduate
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their growth. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research
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available, tailored to the needs and aspirations of the successful applicant. More information on the academic supervisor and EDC collaborations with JLR is available here: https://www-edc.eng.cam.ac.uk
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twins, energy islands, electrolyzers, and machine learning. Our team of 25 members (link ) from 13 different nationalities values diversity and includes experts in a broad range of scientific disciplines