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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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of clinical (e.g. SNOMED, ICD10) codes likely used for the recording of medical diagnoses, and pharmaceutical (e.g. BNF, RXNorm, ATC) codes used for the prescription or dispensation of medicines, medical
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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 of Oxford your happiness and wellbeing at work is
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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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to the supervision of graduate students working on the project - Contribute to the preparation of academic publications. - Contribute to code development efforts in the group at large About you The
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, vaccines, and devices. As a Research Assistant in Health Data Sciences in the group you will be supporting analyses of real-world health care data by writing analytic study code and contributing to our open
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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patterns and ability to work under pressure without compromising accuracy will be vital to the success of the project. Desirable qualifications include proven skills in data analysis and some coding
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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