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Field
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, with the flexibility to work effectively across multidisciplinary teams spanning immunology, clinical research, epidemiology, bioinformatics, and data science. Application Process You will be required
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research programme with two main strands: (i) bioinformatics experiments to unravel the genetic basis of cardiovascular diseases and discover novel therapeutic targets, including genome-wide association
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research programme with two main strands: (i) bioinformatics experiments to unravel the genetic basis of cardiovascular diseases and discover novel therapeutic targets, including genome-wide association
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of gut microbial- and/or neurophysiology, with a strong preference for experience with both Excellent bioinformatics skills, including working knowledge of R and other programming languages, and excellent
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culture (BSL1/BSL2), flow cytometry, transcriptomics and next-generation sequencing (NGS), proteomics, and basic molecular biology and biochemistry. Bioinformatics skills for the analysis of NGS data
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working under the supervision of Prof Chris Buckley and will closely collaborate with other team members in Oxford such as Tissue Biology Lead Prof Mark Coles and Computational/Bioinformatics Lead Dr
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cultivation, molecular biology, bioprocess development and bioinformatics. Experience in hybrid chemical-biological conversion of waste-derived feedstocks would be valuable. Strong organizational, communication
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: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods
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and analysis (confocal, multiphoton) Bioinformatics skills, including experience in single-cell RNASeq analysis Excellent communication (oral and written) skills, with a track record of publishing in