563 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Oxford
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high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including visualisations/plotting preparing and documenting meetings and
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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The Oxford Sustainable Law Programme (SLP) is a world-leading multidisciplinary research centre operating at the intersection of law and sustainability. Founded by Thom Wetzer , the SLP is a joint
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unique opportunity to work at the forefront of therapeutic genomics, leveraging large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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. The post holder will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and
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you deliver is completed in a safe way. You will be computer literate, have great communication skills, and be confident in your ability to communicate with students, contractors and University staff
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, inequality, gender, ethnicity, migration, politics, social movements, health, crime, social networks, the application of computational methods. We welcome candidates with interests in different regions
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international programmes (Africa and Asia Programmes – AAPs). By consolidating professional HR staff into specialised centres, we ensure close collaboration with managers to advance our strategic goals
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to