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and inorganic chemistry; materials chemistry; and nanotechnologies. The School has a strong PhD cohort supported by successful, externally funded research programmes. Collaborations exist with national
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and inorganic chemistry; materials chemistry; and nanotechnologies. The School has a strong PhD cohort supported by successful, externally funded research programmes. Collaborations exist with national
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collection, DNA preparation, long-read sequencing and development of bioinformatic analysis pipelines. Undertaking innovative research to identify resistance alleles and contribute to theoretical advancement
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opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in
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shallow whole genome sequencing. Key skills required: Level A A PhD in Genomics / Bioinformatics or related discipline, and/or an appropriate level of expertise gained from a combination of experience
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applicant (Selection Criteria) To be successful in this role you will have: A PhD in Computer Science, Bioinformatics, or a related discipline, or equivalent relevant research or professional experience
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Applicants should possess a PhD in microbiology, marine biology, genomics, bioinformatics, or related disciplines. In addition, successful Level A candidates will demonstrate: A growing research profile in
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Platform The Data Science Collaborative Research Platform provides essential expertise in bioinformatics, statistics, analytics, digital health, and applied AI. We empower Higher Degree by Research (HDR
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level as required. About you You are required to have: a PhD in a relevant field (Molecular and Cellular Biology, Epigenetics, RNA Biology) a developing research profile evidenced by original, high
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experience in mammalian cell culture, organoid culture and analysis, and stem cell biology. Strong skills in molecular biology, next-generation sequencing, bioinformatics, general microscopy and confocal