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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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sequencing (NGS), and bioinformatics analysis is highly desirable. You will join a multidisciplinary team of approximately 15 experienced chemists, chemical biologists, and molecular/cell biologists based in
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Science, Bioinformatics, Epidemiology, or a closely-related area, or else a lower second-class degree followed by a relevant Master's degree. They must have a strong background in mathematical modelling and an interest in
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V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain
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though not necessary. Previous experience in modelling or computation is highly desirable. Additional knowledge or experience in Neuroscience, Air Quality, Public Health, Bioinformatics, Mental Health
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transposable element biology. They should be able to develop and apply at scale bioinformatic tools that identify and classify transposable elements, and the variation they create. Solid experience in
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in bioinformatics and genetics would also be considered. For genetics-focussed candidates, subject knowledge in obesity/metabolism is welcome, but not essential. For molecular biology candidates
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in additional aspects of biology, bioinformatics and genomics required for successful completion of the programme. The ability to work as part of a team, an interest in industrially focused research
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for wastewater treatment, do analysis of both sludge and water by using various analytical instruments, and conduct bioinformatic analysis. Candidates with high motivation and degrees in environmental engineering