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Field
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real world health data assets, including data on wider determinants of health e.g. climate. As well as analyse data following pre-specified analysis plan/s and/or approved protocols. In this position you
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to analyse large-scale administrative datasets. Proficiency with statistical software such as Stata, R, or Python for data management and analysis. Strong written communication skills, including the ability
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. Depending on background and interests, the role may involve analysis of high-throughput epigenomic and genomic data from tissue and liquid biopsy samples; development of scalable, reproducible workflows using
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foundations for future clinical studies. You will design and run EEG experiments, integrate stimulation and recording hardware, and lead analysis of behavioural and EEG data. You should have: ¿ A PhD (or
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and early diagnosis of bowel cancer. The successful candidate may supervise more junior researchers in the statistical analysis or preparation of data. They will be supported by a multidisciplinary
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scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
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, and the use of software for data handling, statistical analysis, and figure preparation. Experience in molecular and cell biology techniques is also required and basic bioinformatic skills—particularly
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large suite of cosmological simulations designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal
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of flexible or part‑time working. The Project Working under the supervision of Professor Nicole Grobert, you will contribute to a collaborative research programme focused on applying AI‑driven analysis to in
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industrial partner WLL. Experience conducting quantitative research including fracture data collection, management, and analysis is essential. Excellent initiative, flexibility in work style, communication