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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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The closing date for applications is 23.59 on 21 September 2025 Interviews will be held: 8 October 2025 By reference to the applicable SOC code for this role, sponsorship may be possible under
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Multiphysics software (COMSOL and/or Abaqus), python/matlab coding and Molecular Dynamics Simulator (LAMMPs). 4. Publications in mechanical metamaterials, soft robotics, or related area in peer-reviewed
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near to completion) in a bioinformatics field, preferably related to cancer biology. Ideally you should have expertise in spatial biological approaches. You should have advanced skills in code generation
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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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and/or pump-probe techniques. Strong optics experience including building and/or adapting setups is essential, and experience working with coding, automation and algorithm development highly desired
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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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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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central part of everything we do. We also live by our 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
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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