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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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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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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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are correctly set up, managing the project closing list, coding external collaborator invoices, and supporting Senior Grants and Projects officers in collating information for all Audits. You will also be
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datasets to understand dataset-specific quirks, biases and confounders. You will write computer code for analysis of large datasets, that can be integrated into pipelines and used by others to reproduce
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/DPhil) together with established knowledge in wired computer networks and sustainable computing, significant coding experience (both Python and C/C++), and a record of working in a Linux environment and
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Science or other related field, and be working towards a PhD/DPhil in Engineering or Computer Science, together with established expertise in wired computer networks and carbon-aware networking, significant coding
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of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example
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to create a modern, open, collaborative ecosystem for health research. We do this by shipping code, delivering papers, building capacity, and advocating for new ways of working. The post holder will work
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work experience. You must also have demonstrable ability to write R code for data import & manipulation, a working knowledge of SQL, experience using/processing large or complex datasets and a meticulous