Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
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
-
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
-
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
-
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
-
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
-
economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
-
publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
-
with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
-
relevant discipline and possess sufficient specialist knowledge in the discipline. You should be proficient in Python or R with experience in data science libraries, advanced NLP and LLM techniques and
-
Medicine, Statistical Genetics, Bioinformatics, Computational Biology, or a related quantitative discipline. You will also demonstrate a proficiency in statistical programming using R and/or Python, with