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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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enthusiastic individuals with appropriate mathematical, statistical or bioinformatics skills. You will be expected to produce high-quality research, submit publications to peer-reviewed journals, attend 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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of techniques including building optical setups, controlling lab equipment remotely and coding machine learning. Knowledge of photonic networks. Knowledge of research methods and statistical procedures
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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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Knowledge & experience of LC-MS based metabolomics using Sciex Zeno TOF MS Knowledge & experience of LC-MS based lipidomics Knowledge & experience of computational and statistical procedures for analysing
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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