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About the Role Applications are sought for the post of Senior Lecturer / Reader in Medical Statistics / Epidemiology, in the Centre for Advanced Cardiovascular Imaging within the William Harvey
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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clinical epidemiologists and contribute significantly to the statistical analysis and subsequent presentation of results from large scale national and rich local health record data resources. The Associate
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in using a range of statistical techniques and report writing suitable for quantitative psychological science research. Confident presentation skills and the ability to clearly and effectively pass on
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Attend UCL courses and training (e.g. in research study design, good clinical practice, medical statistics, time management, paper writing). Literature research Manuscript writing for submission to peer
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behaving mice, and good proven programming skills with MATLAB or Python as well as good knowledge of statistics and complex neural data analysis. Excellent experience performing in vivo surgeries, such as
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programming skills in either MATLAB or Python, combined with knowledge of statistics and complex neural data analysis. Experience of working on hippocampal and/or medial entorhinal datasets and in in vivo
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documentation software, including git and Markdown. 6. Experience with statistical genetics approaches for functional genomics, including linkage disequilibrium score regression, cell type deconvolution and
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, Chip-Seq, etc) and basic bioinformatic and statistical analysis. Experience with FACS-based pooled screening. Knowledge and experience with protein chemistry. PHYSICAL/MENTAL REQUIREMENTS Sitting
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Knowledge of statistics including regression modelling and controlling for multiple testing Experience of using bioinformatics packages and pipeline development Experience of managing large databases and data