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Salary: Lecturer Grade F: £40,497 - £45,413 per annum Lecturer Grade G: £46,735 - £55,755 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and...
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Salary: £40,497 - £55,755 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 28 August...
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commencing 21st September or early week commencing 28th Sept 2025 Key Accountabilities To lead overall project management of research strategy implementation, working closely with the PVC-R&I and D-R&I
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experience of high dimensional data analysis, including the ability to independently program in the R computing language. Please note that if you are successful in the role, you will require pre-placement
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(R&IA) to join the Green Corridors North East (GCNE) team delivering a £3m+ AHRC Mission project. The role will focus on the theme of ‘Nature and Natural Heritage’ and will concentrate on the Tyne
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tissues or primary human cell cultures. Familiarity with bioinformatics tools for single cell and spatial analysis, in either R or Python, such as Seurat, Scanpy, MERINGUE or similar. Prior experience with
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, Skills and Experience Broad knowledge of statisticsSkills in programming languages such as R and/or Python Experience of applying statistics to solve complex real-world problems Ability to handle a diverse
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economic modelling packages (such as STATA, R, WinBUGS) and the ability to undertake modelling of study data Experience of research on methodological aspects of economic evaluation and advanced evidence
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facilities, including ultrasound tongue imaging, electropalatography, electro-glottography, and nasometry. a range of software programs to support the above tools (e.g. PRAAT, ELAN, PHON, AAA, R, Python, etc
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and clinical data using bioinformatics software and methodologies (e.g. R/Bioconductor statistical environment) Previous specialist experience and in-depth specialist understanding of relevant