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We are looking for a motivated research fellow for an exciting MRC-JPIAMR funded project, titled FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working
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integrated IoT system development for aquaculture health and stress detection. You will focus on the experimental development and deployment of visual and physiological monitoring systems, supporting
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. Coordinate procurement and liaison with vendors/suppliers. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure
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such as physics, astronomy, or computer science; Experience working with scientific research teams, promoting diversity and inclusivity. Experience conducting astronomical research using scientific
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in