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Interviews are expected to take place in mid-January 2026 Join the University of East London – Shaping Futures for 125 Years University of East London (UEL) is a vibrant, diverse, and forward-thinking institution dedicated to transforming lives through exceptional education and career-focused...
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Full-time, Fixed-Term (until March 2029) Salary is in the range £41,374 to £48,639 per annum inclusive of London Allowance* The CoSTAR National R&D Lab, led by Royal Holloway, University of London
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and Immigration website . Full-time, Fixed-Term (until March 2029) The CoSTAR National R&D Lab, led by Royal Holloway, University of London, is seeking an experienced, collaborative Research Fellow to
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. R, Stata) Excellent communication and interpersonal skills Ability to work independently Flexible and able to take initiative Strong organisational and time-management Enthusiasm and personal
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference PHP-PHES-2025-10-R The supporting statement section should set out how your qualifications, experience
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environments, scripting/programming (e.g., Bash, Python, R), and genomic analysis pipelines is essential, along with hands-on experience working with large datasets and public repositories such as Genomics
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with anxiety and depression. The post-holder will need to have strong programming skills (e.g. Python, R) and will take the lead on analysing physiological data and writing up studies for publication
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large-scale microbiome or pathogen genomics datasets. They will be proficient in one or more programming languages (e.g., Python or R) and they will have knowledge of Linux/Unix, SQL, and high-performance
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methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and experience in areas such as
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Join Us as a Postdoctoral Research Fellow in Health Economics and Public Health! The Faculty wishes to recruit a Postdoctoral Research Fellow to produce an open-source health economic model in R