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theory Familiarity with code development for Software Defined Radio systems and suitable programming environments (e.g., Python, APIs, automation frameworks, Jupyter, etc.). Experience in program
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software such as R, Stata, or Python is essential. You will be based in the Radcliffe Primary Care Building, Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your
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related field. They should demonstrate: Strong programming skills in Python and R. Experience developing bioinformatics analysis pipelines for spatial (or single cell) omics data and / or experience
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experience analysing transposable elements, repetitive elements, or locus-resolved genomic datasets, and be proficient in the use of computational tools and scripting languages such as R, Python, and Bash
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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significant area of unmet medical need globally. Find out more about the Lanyon-Hogg group’s research at: https://www.pharm.ox.ac.uk/research/lanyon-hogg-group The post holder will be responsible for design
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November and December 2026. The project involves collaboration with the PI Prof. Paul Goldberg, and collaborators at King's College London. The project web page is at https://www.cs.ox.ac.uk/people
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application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 1 October 2026.
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/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The
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-throughput data in the context of human disease. Strong programming skills are essential, particularly in Python, R, or MATLAB, alongside familiarity with Bayesian methods and statistical modelling. A proven