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, bio veterinary science). You must also have a passion and demonstrable skills (advanced for postdoc) in R programming and be able to communicate results effectively in writing and verbally with
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insights. The position involves data cleaning, analysis, and development of reports, with the chance to build skills in data science tools like Excel, R, Python, and AI-driven epidemiology methods. With
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Statistics or a related discipline. You will have extensive knowledge of R and Python, including package development and experience of the academic research software development cycle, including deployment
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, Chemistry, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, R, or similar languages. Experience with applying AI (ideally) to metabolic modeling is desired
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ethical approval, R&D and research registry registrations for the project Observe the confidentiality of participant information at all times, in accordance with the Data Protection Act and to ensure
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conducting and reporting epidemiological studies using real-world data is essential. Proficiency in using statistical software packages such as R, Stata, SAS, or Python is also required. Strong organisational
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have expertise in data and statistical analysis with a strong component in machine learning and artificial intelligence techniques. You will have programming skills in R, Python or equivalent language
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required. Knowledge of statistical modelling and Bayesian methods. Knowledge of statistical software, particularly R. Strong statistical programming skills. Understanding of clinical trials. An ability
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status such as C&T, C&R, ATAC-seq etc and/or experience in setting up new techniques. The position is available to be filled summer 2025, but the start date can be flexible. What we offer As
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related biological field. Prior experience of mouse or human iPSC/ESC culture is highly desirable, as is experience with techniques to probe chromatin status such as C&T, C&R, ATAC-seq etc and/or experience