11 requirements-engineering "https:" "https:" "https:" Fellowship research jobs at University of London
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Technology. Applicants should hold a doctoral degree in public health, epidemiology, or a related discipline, and have strong experience in longitudinal data analysis and advanced causal inference methods (e.g
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environments. Demonstrated experience in data engineering and ETL workflows required to prepare large, real-world dataset for machine-learning development is also essential. Please note experience in healthcare
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to work: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore, the appointable candidate will need to be
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B microarray patch (MAP) technology for the delivery of timely birth doses of the hepatitis B vaccine to prevent vertical transmission of hepatitis B. The post-holder is expected to use data from
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and to integrate these lines into the drug-development pipeline to aid the discovery of novel therapeutics that eliminate “persister” parasites. This will involve undertaking research on Trypanosoma
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must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires proven expertise in data science or related fields, with strong skills in quantitative analysis applied
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of consumables and specifics and finally a willingness and ability to travel outside the UK several times a year are required. Experience in recombinant protein production and purification is beneficial. Further
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available. The post is based in London at LSHTM with a requirement to work on-site for a minimum of two days per week. Applications should be made on-line via our jobs website . Online applications will be
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Trust-funded programme grant. This will involve in-depth biochemical, molecular, genetic and cell biological analysis of the D-arabinanases, leading to the discovery of mycobacterial interactions with
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, focus groups, observation and documentary analysis, and will lead on the analysis and synthesis of qualitative data using systems evaluation frameworks. The role requires an excellent understanding