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About the Role We are seeking an experienced senior project/data manager or database developer with leadership experience to lead our team of clinical trials data management and database development
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researcher with experience in participatory methods and community engagement. You'll have a degree in a relevant field and experience in qualitative and quantitative research methods. Experience working with
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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Product (CTIMP). TiLLI-High aims to investigate the most effective and cost-effective method of pharmacological prophylaxis in a population at higher risk of VTE. TiLLI-Low aims to investigate
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, and OpenSAFELY, and to develop and apply the new generation of analytical methods to study environmental health risks and climate change. The post will provide opportunities for interactions with
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independently and in close collaboration with in-country partners. The applicant should have an excellent academic track record that includes formal training in microbiology as well as a relevant PhD (public
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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sequencing data from individuals with the C9orf72 repeat expansion. This post requires extensive experience in analysis of genomic data, supported by a PhD. They will support the development and applications
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supervised by Dr. Damien Tully and applicants are encouraged to contact Dr. Tully (Damien.Tully@lshtm.ac.uk ) for an informal discussion prior to submitting a formal application. The post-holder will have a