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the quantitative analysis of survey data Expertise in R or another similar statistical programming language Expertise in the management of complex survey data sets and associated metadata Excellent written and
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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blades. In this role you will: Design, build and optimise optical and inductive thermal NDE rigs for curved, metre‑scale blade sections; Develop and validate forward–inverse heat‑transfer models
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humanised mouse models with the same mutations as patients, all of which are currently available in the laboratory. Minimum qualifications are PhD and/or MD with expertise in molecular and cellular biology
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the EPSRC grant “Extreme Values of Complex Systems: Random matrices and L-functions”. Candidates with broad interests in random matrix theory, analytic number theory, probability or statistical physics
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, modelling). The post holder provides scientific, technical, and administrative support to the lab members. Scientists include the principal investigator (Prof. Randy Bruno), postdoctoral researchers, graduate
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(multivariate classification and/or computational modelling) to carry out fundamental science research in the Woolgar lab. The ideal post holder will have prior experience with acquisition of fMRI and/or MEG data
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help develop and characterise advanced patient-derived tumour models and use them to test promising therapeutic targets that exploit vulnerabilities caused by loss of the SMARCB1 gene. This role offers
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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Is the Job related to staff position within a Research Infrastructure? No Offer Description About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net ) uses mathematical models