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close to completing) a PhD in statistical genetics, computational biology, bioinformatics, or a related quantitative discipline, with proven expertise in the analysis of large-scale sequencing data and
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surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant
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and willing to extend skills (e.g. to use SQL) Experience of preparing large datasets for analysis from longitudinal surveys or routine healthcare settings Experience working as a data analyst in a
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data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other international initiatives. To be considered, you must
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motivated candidate to carry out bioinformatic analysis on large genomic datasets, with comparisons to associated metadata. This will include development of analysis pipelines and interpretation of whole
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processes for both small and large active pharmaceutical ingredients (APIs), including peptides and oligonucleotides. The researcher will leverage state-of-the-artc omputer-assisted retrosynthesis tools
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Are you passionate about using data to uncover insights in cardiovascular health? Do you have experience working with large-scale datasets and a strong interest in clinical research? We are seeking
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Salary on appointment will be £38,784 per annum, with an annual increment up to £46,049 per annum. An exciting opportunity has arisen for a Senior Research Associate to join a large team of
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niche. You will be involved in designing, developing and implementing high-throughput bioinformatics and machine-learning solutions to analyse large-scale genomic and transcriptomic datasets (bulk and
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student journey from enrolment to graduation. You will provide leadership to c.50 staff across student and academic administration, exams, graduation and awards, student records, fees, data and scheduling