192 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at University of Oxford
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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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century and the profound changes that have taken place in many areas of Europe over the last twenty-five years. The Rathbone Professor will be based at St Antony’s College, where they will maintain and
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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
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The Department of Physiology, Anatomy and Genetics (DPAG) and St Peter’s College are seeking to appoint a full-time Associate Professor of Stem Cell and Organoid Biology as applied to understanding
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Japan, in association with St Antony’s College. This is a full-time, permanent post, subject to successful review after five years, commencing in the 2026/27 academic year. The successful candidate will
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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
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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regarding the confirmation of student funding arrangements for current and incoming students to the department; setting up new grant codes for departmental studentships, the allocation of departmental
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English. This position is based at the China Centre at St Hugh’s College, close to central Oxford. This is a full-time, fixed-term position until 31 August 2029. The closing date for applications is 12 noon
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learning in chemistry would be advantageous, as would familiarity with ML approaches for atomistic modelling (e.g., MACE, ACE, NequIP, PhysNet, reactive MD). Prior contributions to scientific code