593 computer-programmer-"Multiple"-"O.P"-"U" Fellowship research jobs in United Kingdom
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Employee Assistance Program For more information check out our benefits page! Your new team - School of Agriculture, Food and Ecosystem Sciences The School of Agriculture, Food and Ecosystem Sciences (SAFES
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well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - School of Agriculture, Food and Ecosystem Sciences The School
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, and be responsible for preparation of regular reports, publications and presentations at international conferences and project meetings. You must demonstrate that you have managed multiple tasks
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to include multiple dimensions of exclusion, such as gender, age, and disability. While spatial analysis and behavioural insights have been used to study urban inequalities, no systematic global effort
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable
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including malaria, have experience and understanding in using multiple metrics for analysis, experience with design and implementation of study protocols, experience of data analysis in Stata and programming
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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department of Women and Children’s Health is a lively and supportive
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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in adults with cerebral palsy; this project has been funded by NIHR Programme Development Grants. You will conduct a scoping review, recruit and interview participants, analyse qualitative data