63 coding-"https:" "https:" "https:" "https:" "https:" "https:" "I.E" research jobs at University of Oxford in United Kingdom
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on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 7 January 2026
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on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 16 January 2026 It is anticipated that interviews will take place on 5 February 2026
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University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 16 January 2026 It is anticipated that interviews will
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the likelihood function implemented in the Dispersal Extinction Sampling model (DES) by collaborator Silvestro (Hauffe et al. 2023 MEE). The DES model was designed to look at pairs of geographic areas (i.e., sites
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undertaking observations or focus groups setting up surveys in web-based survey tools and collecting online data support in developing and writing up case studies coding transcripts which may include developing
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. You will have evidence of post-qualification research experience, research experience in the analysis of large biomedical or biobank datasets, a proven ability to code and a strong publication record
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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing
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, econometrics or another relevant field. You will have substantial relevant research experience in complex trait genetics, a proven ability to code and a strong publication record. If no suitable applicant is
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multiple researchers, ensuring that research code is robust, reproducible, and accessible. The role is designed to provide broad exposure to modern computational neuroscience and neuro-AI research, with
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discrete dislocation plasticity modelling of metals and a good knowledge of dislocation plasticity and solid mechanics. Fortran coding experience and knowledge of Abaqus, Fortran user subroutines and crystal