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data analysis and scientific documentation Strong teamwork and communication skills Experience with co-supervision of students Additional Information Benefits We offer Our institution is based
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in in vitro reconstitution, live-cell imaging and electron microscopy Excellent written and oral communication skills in English - essential for data analysis and communication with stakeholders
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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS
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collaborative environment advanced expertise in biostatistics and epidemiology, including study design, causal inference, survival analysis, longitudinal modelling, and principled handling of missing data. high
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4 Apr 2026 Job Information Organisation/Company CNRS Department Institut de recherche et d'histoire des textes Research Field History Researcher Profile Recognised Researcher (R2) Application
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biology techniques and/or omics approaches. Knowledge of RNA biology and gene regulation is considered an asset. Experience in bioinformatics or computational analysis of omics data is a plus. Demonstrated
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the biological sciences. We have an outstanding international reputation and a community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can
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to Prof. Thanasis Tsanas, Professor of Digital Health and Data Science (atsanas@ed.ac.uk ) Your skills and attributes for success: PhD or MSc with related work experience in a relevant discipline e.g
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, a cover letter describing your research experience, your scientific interests, and your specific reasons for applying to this lab, and contact information for three references. Cover letters