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Field
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activities, including supporting clinical trial and experimental medicine studies. You will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale
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histology/ flow cytometry methods, familiarity with CRISPR/Cas9 or other genetic perturbation approaches* For computational scientist : previous experience with NGS data analysis; fluency in R, Python or C
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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Python, R, Java, or Matlab. Desirable: Experience of research in analysing healthcare data (e.g. EHRs). Evidence of collaboration with industries, policy makers, or institutions. Demonstrable ability
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods
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and to solve major global challenges. About you You will hold a relevant PhD/DPhil in Cognitive Neuroscience, Psychology, or a related subject. Strong programming skills (Python and/or MATLAB) and the
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analysis is essential. Familiarity with additional omics technologies (e.g. RNA-seq), programming languages such as R or Python, and knowledge of breast cancer biology are highly desirable. You will be
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B2 Some knowledge of Python and R programming from the command line for bioinformatics B3 Knowledge and experience of cell biology, FISH and microscopy methods Skills Essential: C1 Excellent