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Oxford-R. E. Jones Graduate Scholarship The Oxford-R.E. Jones Graduate Scholarship is available for applicants with Home fee status who are applying to the Centre for Doctoral Training programme in
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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023
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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023
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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023
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knowledge of programming in R and/or Python. You will be self-motivated with proven organisational and time management skills and have the ability to work within multi-disciplinary teams and independently
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proficient in R, Stata, or Python for statistical analysis and have demonstrable experience in handling and analysing large-scale datasets, including EHR and biomarker data (e.g. UK Biobank, China Kadoorie
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to support the liaison with clinical teams and NHS R&D offices across the UK, recruiting patients, and carrying out the trial assessments. Project 2 The post-holder will work across three clinical
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curation tools (e.g. Tableau, Trifacta, Alteryx) and of statistical software packages (e.g. Stata, SPSS, SAS or R) for data summaries and exploration. Applications for this vacancy should be made online and
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working