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. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in biostatistics, statistics or related field
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results). Strong programming skills
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criteria PhD in relevant area (awarded or near completion). Substantial experience of using qualitive methods and undertaking qualitative analysis. Experience of working with diverse populations and with
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well as postdocs and PhD students. Although STFC funding decisions are still not finalised, we hope to have funding confirmation in time to make offers well before the January 30th agreed deadline for HEP postdocs
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bachelor’s or master’s degree (minimum 2:1). PhD qualified in relevant subject area*(e.g., epidemiology, population health, quantitative social science, statistics, psychology, developmental psychology
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. Essential Criteria PhD qualified in relevant subject area (or pending results/near completion) Experience applying multi-modal models specifically in medical or clinical domains. Strong knowledge of MRI data
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national and international conferences. Mentoring undergraduate, masters, and PhD students within the Department of Neuroimaging. Collaborating with the wider team in order to achieve the aims of the project
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of multidrug-resistant fungal infections. Applicants should be educated to PhD level, and have a good working knowledge of organic synthesis and the purification and characterisation of intermediates using
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to internationally leading research and play an active role in shaping the future direction of the project. Additionally, they will be responsible for supervising PhD and MSc students working on related topics
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: Essential criteria PhD awarded in cardiovascular related research * Experience in cardiac MRI data acquisition and analysis in animal models of heart disease Experience with preclinical research models