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-applicant team the PDRA will lead the day to day running of the project. The project includes four work packages: 1) policy review and workshops with key stakeholders; 2) in-depth mixed method case studies
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may be addressed to jobs@lshtm.ac.uk . A short (500 words) planetary health related research proposal including appropriate methods and outcomes and feasible in a 2-year timeline, are to be submitted
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prepare papers, support checking quality assurance information, work methodically, follow set processes and procedures and have a high level of attention to detail and accuracy. A pro-active, flexible
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understanding of cleaning methods and technique. Further particulars are included in the job description. The post is part-time, 10 hours per week and permanent. Exact working hours will be confirmed at the time
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Security Agency (UKHSA) and LSHTM. We are looking for a social sciences researcher with expertise in conducting qualitative and mixed methods research/evaluations and a good knowledge of the UK vaccination
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health implementation in low-income and middle-income countries (LMICs). The post-holder will be developing prediction models using classical statistical methods, machine learning (ML), and Artificial
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Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research. As a result, we actively collaborate with experts in
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for Knowledge and understanding of the region and higher education. Extensive awareness of the activities of the organisation and competitor business schools. Excellent numerical skills with the ability