211 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at University of Nottingham
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of Trial Master Files and local site files; planning travel arrangements and meetings; data entry and raising data queries. Candidates must have a minimum of GCSEs (or equivalent) in English and mathematics
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to data integration and workshops. 4- Disseminate findings through publications in leading international journals and presentations at major conferences. 5- Play an active role in departmental and school
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supportive working environment • We are committed to staff development through the provision of training, continued support, and career progression opportunities Further information is available in the role
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials
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high-level of independence and leadership the development of the new methodology and synthesis under the direction of Dr Mattia Silvi • Prepare high quality supporting information for publications
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information is available in the role profile. To apply for this vacancy please click ‘Apply Now’. This is a permanent position. Your working hours will be 36.25 hours per week. If you are interested in part
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commissioned by Henry VIII? We are seeking to appoint a Research Fellow to join the research team on Rediscovering the Tudor Domesday: evaluating historic data to deepen understanding of the making of regional
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· Query resolution and stakeholder support, investigating finance related queries accurately and professionally This is not a data-entry role. It requires sound accounting knowledge, curiosity, and
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opportunities for ongoing development and progression. Essential experience and skills include: Working as part of a team in an office-based role Accuracy when handling finance or numerical data High-level IT
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We invite applications for a Postdoctoral Research Associate position to advance the 'REMEDY Plus' project, an expansion of a novel, data-driven, decision support system for UK dairy farmers