79 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Nature Careers in United Kingdom
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be found in the candidate brochure via https://wittkieffer.com/positions/38286 Enquiries can be made, in confidence, to Jamie Cumming-Wesley orNatalie Derry at WittKieffer. Completed applications
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Full time, fixed term role based at our Hammersmith Campus. If you require any further details on the role, please contact: Dr Ben Jones - ben.jones@imperial.ac.uk Apply: https://www.imperial.ac.uk/jobs
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and clathrin (PMID: 29921601 and BioRxiv https://doi.org/10.1101/2025.08.20.671218). Septins act as a restriction factor that suppresses viral release from the cell, while clathrin enhances viral spread
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with experts to automate diagnostic assays, leading to cost-effective, easy to use tests Work closely with AMR, Informatic and Machine Learning colleagues ensure the tests provide accurate pathogen ID
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, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial
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testing. Experience of working with genomic data at a population scale, including the tools and technologies to manage sophisticated analyses. Experience of statistical and/or machine learning methods
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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for early-stage cancer using statistics and/or machine learning (including deep learning where appropriate). You will join a vibrant and growing research group of 12 scientists (six postdoctoral researchers
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the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together
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of emerging methods in metabolic analysis, metabolic modelling, machine learning, and data-driven biology, identifying opportunities to apply new tools to accelerate discovery. Work closely with experimental