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application. This statement should include three short sections: (a) list of simulation codes used (b) your top three publications (c) previous experience in battery or energy materials modelling. Please do not
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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
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QM-MM models to systematically consider the contributions of individual environmental influences. Carry out quantum chemical calculations of excited state properties. Implement any code necessary
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bioinformatic software, writing computer code and working in HPC environments. The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according
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involved in the supervision of a PhD student during the duration of the position and will have significant of opportunities for career development. Key responsibilities: To develop and implement coding tools
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Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and
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central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study
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to use in model construction. To select and apply appropriate techniques and methods for predictive model development and validation. To develop reproducible analyses, curate code on appropriate
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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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Experience interviewing victims-survivors of human rights violations and coding qualitative evidence A track record of publications Strong qualitative research and analysis skills Strong oral and written