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About EIT The Ellison Institute of Technology is establishing a world-class R&D facility at Oxford Science Park to drive sustainable innovation in health, food security, climate change, and AI
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skills: excellent knowledge of French; Technical skills: knowledge of linguistic theories; experience with empirical methods, in particular statistics (R); Teaching skills; Interest in third mission
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or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential. Applicants
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delivery of RNA or DNA to cultured cells, CRISPR-Cas genome editing. Some knowledge of a programming language such as R or Python would be valuable. Applicants will work under the practical supervision of a
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managing and working with complex, high-dimensional datasets, ideally in the life sciences, and should be comfortable using open-source data management and analysis tools (e.g., R, Python, SQL, or similar
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organisational and time management skills, including ability to prioritise workload and work to deadlines. Desirable criteria Coding skills and experience in one or more open-source languages (e.g. Python, R
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South America, and also have a scientific background that includes field-based research and macroecological modelling skills, including R coding experience. The person will possess broad experience
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administering standardised or experimental assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus
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assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus, or other suitable programme) Proven ability
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You