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with morphological image data is essential. Experience in geometric morphometrics and/or finite element analysis is desirable. Customer advert reference: B02-10342
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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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pipelines for genomic data analysis, and of programming languages such as R, Python, or Bash script is essential, as is experience of working with High Performance Computing. Time management skills
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understanding of human genetics. Knowledge of DNA and RNA sequencing analysis, of programming languages such as R, Python, or Bash script, and of bioinformatics pipelines for genomic data analysis is essential
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systems, their implementations and data analysis methodologies. Practical experience of deploying IP cores on FPGA systems is essential. A track record of publications in leading journals / conferences is
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instance. About you The successful candidate will have skills in advanced quantitative methods including longitudinal data analysis using large-scale administrative and cohort data. Further particulars
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Investigator (PI) to develop the research design, data collection, data analysis, and dissemination and publication of the project’s research. The two Fellows will each be focused on distinct parts
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analyse large scale job application data from employers using quantitative methods. Findings from the analysis will be written up in a project report, separate reports to employers, and in academic journal
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responsible for programme management, overseeing project delivery. Third they will contribute to the data collection, analysis and dissemination of mixed methods research activities within the study. Starting
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such as R, Stata, Python, or equivalent for data preparation and analysis. You have strong analytical and communication skills, with the ability to contribute to academic outputs such as research papers