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. The Faculty of Population Health Sciences has established itself as UCL’s largest research-based faculty, encompassing eight institutes. More information available at www.ucl.ac.uk/population-health-sciences
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working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to applicants eligible for UK home
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the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
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scientific evidence, methodology and data. Strong interpersonal, communication and organisational skills. Please note, a DBS check will form a condition of the offer. Personal qualities Strong work ethic with
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Institute for Health and Care Research funding streams and the Bone Cancer Research Trust for 18 months, or until 30 April 2027, whichever is earliest. For further information or discuss the post please
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of environmental economics and innovation. The successful candidate will play an integral role in supporting data-driven, policy-relevant research examining the intersection of environmental challenges and
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responsibilities of the job - Access and analyse national cancer registration data, population statistics, and mortality data by ethnicity. - Calculate ethnicity-specific absolute risk thresholds and estimate
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Research funding streams and the Bone Cancer Research Trust for 18 months, or until 30 April 2027, whichever is earliest. For further information or discuss the post please contact Associate Professor
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at jun.jiang@imperial.ac.uk Further information on research in mechanical engineering at Imperial College London can be found at: https://www.imperial.ac.uk/mechanical-engineering/research/ and details
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energy data. The skills they will develop will be highly sought after both in university research on energy modelling and as a practising engineer in industry. The profitability and sustainability of many