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architecture and hardware security, significant coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university
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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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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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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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MoSS, to study MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and other methods. The successful candidate will be involved in
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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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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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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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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