562 parallel-processing-bioinformatics-"Multiple" Fellowship research jobs in United Kingdom
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documentation and compliance. They will work closely with clinical teams to identify eligible participants and ensure high-quality engagement with trial protocols. In parallel, the fellow will contribute
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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of microbial genomics and develop computational tools with broad applications in biotechnology and biosecurity. The role involves collaboration with leading researchers across multiple institutions and will
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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pipelines, automate data processes, and enable all-island data federation. This role presents an exceptional opportunity to develop frameworks that enable application of cutting-edge AI/ML methods to complex
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics