14 web-programmer-developer-"https:"-"https:"-"https:"-"UCL" research jobs at University of Sheffield
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an interdisciplinary supervisory team and an established Advisory Programme. The student will join the well-funded and friendly Whitfield lab (see blog). Please apply for this project using this link: https
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teaching of our healthcare programmes (including nursing). We are looking for a person with an interest in developing the use of state of the art simulation based technology to enhance the delivery
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exploring the changing needs for AI skills in the UK economy, and how we can better train professionals in every sector with the technical and business skills needed to work with AI. The successful candidate
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develop work set as a priority by Health Education England. The primary responsibilities for the postholder are to support the EDI lead for the Clinical Psychology training programme and will include
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development. This international and interdisciplinary project brings together expertise in genetics, developmental biology and microscopy with physics and biomechanical modelling to understand how intricately
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running the trial at Greater Manchester Secondary Schools. Specifically, this will include: Approach and develop relationships with and on-boarding schools, including skilled liaison with senior leadership
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, develop and refine experiments in order to obtain reliable data. Accurately record results, providing data analysis and presenting findings to colleagues at lab meetings. Plan and prioritise your daily work
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is to discovering the mechanisms of resistance evolution and develop biomarkers that can predict which patients are at risk of developing resistance. Work at Manchester and Liverpool has focused
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to data collection and dissemination. The role offers an excellent opportunity to develop advanced qualitative research skills, work with diverse communities, and contribute to impactful research on health
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to unravel the ecological and functional diversity of MFRE associations. You will be responsible for developing and applying analytical frameworks to interpret these large datasets, enabling new insights