25 data-"https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in United Kingdom
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Fellowship Enhancement Award and funding for a full-time PhD studentship. For further information please visit: https://www.qub.ac.uk/Research/fellowships-at-queens/fellowship-academy/illuminate-fellowship
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Caenorhabditis elegans as a model. Cell and Developmental Biology https://www.ucl.ac.uk/life-sciences/cdb Prof Barbara Conradt https://profiles.ucl.ac.uk/71722-barbara-conradt About the role The main purpose
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ambitious postdoctoral scientist with a PhD in Data Science, Bioinformatics, or equivalent, as well as expertise in genomic data science. Experience in single-cell and/or spatial genomic data analysis and
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Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow this link to find out more - Benefits How to apply For full details of the post and to complete an online application, visit https
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salary sacrifice cycle to work scheme. Please follow this link to find out more - Benefits How to apply For full details of the post and to complete an online application, visit https://mrc.tal.net/vx/lang
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- Benefits How to apply For full details of the post and to complete an online application, visit https://mrc.tal.net/vx/lang-en-GB/appcentre-1/candidate/postings/3072 and upload your CV, names and contacts
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sacrifice cycle to work scheme. Please follow this link to find out more - Benefits How to apply For full details of the post and to complete an online application, visit https://mrc.tal.net/vx/lang-en-GB
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this link to find out more - Benefits How to apply For full details of the post and to complete an online application, visit https://mrc.tal.net/vx/lang-en-GB/appcentre-1/candidate/postings/3075 and upload
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tight deadlines. Additional information: Salary on appointment will be within the range £37,500 to £45,350 per annum depending on qualifications and experience. This is a full-time post for a contract of
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to therapy. Our research integrates patient data, experimental models, and computational approaches to understand how tumours evolve, evade, and respond, with the ultimate goal of improving cancer outcomes. We