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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have experience
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degree, who hold an ACVECC Diploma. A background in research work in one of the College’s areas of special interest or hold a PhD, although desirable, are not essential. We offer a generous reward package
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ETL/ELT methods and creative techniques to build accurate and scalable data models. The role holder will champion the adoption of BI tools across the business through training and user support. In
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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of behaviour change science as applied to obesity-related NCD research and experience in undertaking behavioural analyses and mixed-methods evaluations of obesity-related NCD interventions. Further particulars
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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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will have a PhD in a related field, an emerging track record of outstanding publications, and well-developed plans for new research projects. This post is generously funded by the A. G. Leventis
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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 alongside your
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funded by UK Research and Innovation (UKRI), this programme is part of the government’s strategic effort to position the UK at the forefront of global AI expertise. Our goal is to train PhD researchers