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the James Hutton Institute. There are currently around 50 members of the department, undertaking research in bioinformatics, geoinformatics, soil science, community planning, policy options appraisal, risk
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, you will lead the development and application of bioinformatics pipelines for DNA sequencing, contribute to innovative cancer research, and collaborate with a diverse team of scientists and external
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collaboratively with other members of the bioinformatics team. Committing to performing cloud-based analyses on the IMCM data platform is a key part of this role, along with preparing manuscripts for publication
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immunohistochemistry, microscopy and live cell imaging. Essential Application Experience in image analysis or bioinformatics analysis. Essential Application Knowledge of programming languages, e.g. Python/R, and the
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. Demonstrates knowledge of bioinformatics and cancer genomics. Strong organisational skills with ability to prioritise own workload and show attention to detail. Energy and enthusiasm and good interpersonal and
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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. Experience in spatial or single-cell transcriptomics and bioinformatics or high throughput screening is highly desirable. The successful candidate will join a research group within the BHF Centre of Research
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biology; molecular pharmacology; toxicology and bioinformatics across several courses. You will have a minimum of a first degree in a related discipline and either a doctoral level qualification in a
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including bioinformatic data and epidemiological data including Avon Longitudinal Study of Children of the Nineties (ALSPAC), UK Biobank and other publicly available datasets You will be part of thriving
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bioinformatics tools to detect engineered pathogens through investigation of anomalous genomic signals. This role offers an exciting chance to work in the new and impactful field of Microbial Forensics