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essential. Familiarity with immune signalling pathways and previous experience of multi-parameter flow cytometry software are desirable. Due to the nature of the research at the Kennedy Institute
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reactions, along with constitutive models for glassy and semi-crystalline biodegradable polymers, building on recent works from the Brassart group. You will implement the models in a finite element software
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statistical knowledge and expertise in statistical analysis (including multivariate analysis and data management) as well experience in relevant software packages, e.g., SPSS/STATA and R, you will have
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for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications, open-source software development, and training materials. This position is full-time and fixed-term
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—and machine learning to work within established research programmes. A strong, demonstrable experience in research software development using Python programming language and modern machine learning
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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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element simulation software is required. You will help create a healthy and vibrant research environment within The Podium Institute for Sports Medicine at the University of Oxford. This will involve
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of working with quantitative data and relevant software (Stata, R, Python, or similar). This is a full-time, fixed-term post for 12 months, that must end no later than February 2027. The Department of Social
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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particular emphasis on kinetic Monte Carlo approaches, and in software development, including version control (Git or similar). Experience in ab initio methods and specifically calculations of excited