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We are looking for a passionate scientist with a technical background (in engineering, computer science or physics) and an interest in biological applications, to work on the EPSRC-sponsored project
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of Life Course and Medical Sciences. You will have a PhD (or be about to obtain) in areas relevant to this post (e.g. cell biology, molecular biology, physiology, and related). This post is available from 1
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of Professor Reinhold Medina at the Department of Eye and Vision Science in the Institute of Life Course and Medical Sciences. The post is available for 3 years. The University has the right to close the vacancy
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, health data science, health economics, psychology, health service research, computer science, signal processing, mathematics and/or statistics), with an excellent working knowledge of research methods in
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The NIHR CLEAN-Air (Africa) Global Health Research Unit seeks an experienced and independent researcher to be appointed as a post-doctoral Research Associate (Grade 7) or as a Research Fellow (Grade 8, based on experience) to coordinate quantitative data streams and analysis for the...
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The NIHR has funded an innovative programme of research, led by Professor Sir Munir Pirmohamed, to personalise renal (kidney) function monitoring for patients with heart failure (RENAL-HF). This aims to change healthcare for thousands of patients with heart failure by reducing kidney damage,...
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experienced people. You will have a PhD in a relevant area (e.g. epidemiology, economics, geography, public health, psychology, data science, applied statistics), with an excellent working knowledge of research
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. The group is multi-disciplinary and includes considerable experience in eye care service delivery, evidence synthesis, organisational theory, health economics and stakeholder engagement. The project comprises
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multi-disciplinary and includes considerable experience in eye care service delivery, evidence synthesis, organisational theory, health economics and stakeholder engagement. The project comprises two
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with a diverse training background to apply e.g. epidemiology, statistics, mathematics, engineering, physics, where you can apply your knowledge to health care data. You will have a PhD in epidemiology