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. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or
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presentations/reports as required. It is essential that you hold a relevant post-graduate qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and
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. You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses
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imaging data and identify & troubleshoot technical or scientific problems. You will have a Doctoral (PhD) degree or equivalent, or be near completion, in Biostatistics, Mathematics, Statistics, Statistical
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experience and ability in biostatistics or bioinformatics. You will also have previous experience in a laboratory research setting, and use of techniques including but not limited to PCR, qPCR, gel
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Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject. You will have the knowledge of and commitment to software development best practices including issue tracking, testing
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position, so excellent communication and interpersonal skills are essential. Applicants will need to hold a PhD or equivalent in Genetics, Biostatistics, Computational Biology, or a related subject. She/he
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be trained and co-supervised by Senior Bioinformatician Dr Alessandro Barberis. About you It is essential that you have a relevant PhD/DPhil (or be nearing completion) in Biostatistics, Mathematics
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bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline. You will have demonstrable specialist bioinformatics knowledge, skill and experience to develop and oversee large
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close to completion) in applied mathematics, statistics, epidemiology, public health or another relevant and related subject, together with sufficient specialist knowledge in epidemiology, biostatistics