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, radiofrequency electromagnetic fields (RF-EMF). We are looking for a self-motivated epidemiologist/ statistician/ data analyst, with an advanced degree in epidemiology, medical statistics, or relevant quantitative
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statistics, data science, and machine learning. You will also explore and develop new research avenues in the area within the team and will be offered excellent training opportunities. Duties and
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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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Knowledge & experience of LC-MS based lipidomics Knowledge & experience of computational and statistical procedures for analysing targeted and untargeted metabolomics data Knowledge of metabolic biochemistry
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Learning, Computational Science, Statistics or related quantitative discipline or relevant industry experience. Experience in R or Python programming languages for designing, implementing, training, and
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statistical analyses Record of publications in peer-reviewed journals Ability to conduct a detailed review of recent literature Ability to develop and apply new concepts Ability to direct the work of a small
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or commercial experience Computer literate with a good knowledge of different computer programs with experience in data presentation and statistical analyses Proven track record in project management Ability
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be appointed as Research Assistant. Computer literate with a good knowledge of different computer programs with experience in data presentation and statistical analyses Record of publications in peer
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materials Knowledge of research methods and statistical procedures Ability to exercise initiative and judgement in carrying out research tasks; Ability to present to a high level before an audience
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mechanics / geotechnical engineering, Practical experience of writing papers for and publishing in international journals Knowledge of research methods and statistical procedures, Ability to conduct a