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discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility
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longitudinaldata analysis. Breadth and depth of experience of using statistical software (SPSS/STATA/SAS/R/Mplus. Experience of presentations/dissemination of research findings at local, national or international
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of power and propulsion systems, heat and mass transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine
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-augmentation methods, with outputs including open-source software, careful evaluation on synthetic and real outbreak data, and training materials to support wider uptake. The successful candidate will
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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-omics integration. Produce High-Impact Outputs: Deliver internationally competitive research through publications, conference presentations, and reproducible software. Foster Collaborations: Work closely
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complex clinical trials, with proficiency in one or more statistical software packages (e.g. Stata, SAS, R). Be expected both to support the DQASS contract and externally funded research projects, including
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experience of successful project management and compliance with relevant governance and quality standards Experience in management and analyses of large quantitative datasets using relevant software (e.g
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software framework for the testing of age estimation technologies (AET) from facial images This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection
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experience in clinical trial statistics and/or medical statistics, with experience of analysing complex clinical trials, with proficiency in one or more statistical software packages (e.g. Stata, SAS, R). Be