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. This environment provides strong opportunities for continuing professional development. Essential requirements PhD in epidemiology or medical statistics or a closely related quantitative discipline and have
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of metabolomics data, advise on design of biological experimental protocols, and data management. In addition, the candidate will provide support/training to research staff, MRes, MD and PhD students within
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mathematical and/or statistical skills and an interest in infectious disease epidemiology. *Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the
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To develop contacts and research collaborations within the College and the wider community To provide guidance to PhD Students Contribute to bids for research grants To conduct and plan own scientific work
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assist with obtaining and maintaining ethical approval. Essential requirements Hold a PhD in Epidemiology or medical statistics or a closely related quantitative discipline. A strong background in
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Job summary This is an opportunity for an outstanding postdoctoral researcher to join the UK Small Area Health Statistics Unit (SAHSU ) at Imperial College London to study the health impact of
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collaborations within the College and the wider community To provide guidance to PhD Students Contribute to bids for research grants To conduct and plan own scientific work with appropriate supervision. Essential
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necessary. Develop contacts within the College and the wider community. Promote the reputation of the Group, the Department and the College. Essential requirements At Research Associate level: Hold a PhD (or
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Essential requirements PhD in an area related to metabolomics, biomarkers and metabolic biochemistry Practical experience within a research environment and / or publication in relevant and refereed journals
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, the Departments and the College Essential requirements Candidates/post holders will be expected to demonstrate the following: Hold a PhD (or equivalent) in Chemistry, Materials Science, Physics or related subject