57 parallel-processing-bioinformatics "https:" positions at UNIVERSITY OF SOUTHAMPTON
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clinical specialties: General Surgery, Respiratory or Paediatrics. The post is intended for an applicant within any of these three specialities, with the speciality of the final (single) post dependent
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-time The Faculty of Medicine wishes to appoint an NIHR Academic Clinical Lecturer, hosted by one of the following clinical specialties: General Surgery, Respiratory or Paediatrics. The post is intended
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discipline. You will have demonstratable experience in field-based research, microbiology (field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil
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specification, as well as an indication of the reasons for your interest in this opportunity. Completed applications should be uploaded at https://plusportal.perrettlaver.com/VacancyDetail/f489f8ce-0fd8-33e1-0ca9
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robust, reproducible genomic bioinformatics pipelines, using modern workflow systems and high‑performance computing platforms. Produce rigorous, high‑quality research outputs that advance applied genomic
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may play in stress responses, below-ground processes and pollination. The research combines controlled experiments, advanced measurement and multiphysics modelling, and will generate open datasets and
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or early cancer research About us A collaborative team spanning Cancer B‑cell immunology, genomics, molecular/cellular biology, bioinformatics and clinical informatics. The environment combines strong
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systems, biomolecular interfaces, and catalytic processes. The project will use molecular dynamics simulations to understand molecular mechanisms of metal-based antimicrobial systems and biomolecular
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(field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil, particularly roots (i.e. rhizosphere collection and root traits). You will have a
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will lead the natural language processing and language modelling aspects of the project, focusing on how sensor-derived motion data (from radar) can be transformed into linguistically meaningful BSL