383 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions in United Kingdom
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of robust, open scientific software. This post is fixed term for 3 years You will develop and implement new computational methods and MLIP workflows, contribute to high-quality, maintainable open-source code
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model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open research outputs. Support and lead
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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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This role leads the Dynamics 365 and Power Apps team within IT Services, responsible for the operational delivery, development and continuous improvement of the University’s CRM and low-code
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-code platforms. The post-holder will manage a team of specialist engineers, working closely with colleagues across IT Services and the wider University to ensure Dynamics 365 and Power Platform services
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, contributing to open and reproducible workflows (code, metadata and documentation) in line with project and UKRI expectations. Prepare research outputs including papers, conference presentations and
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design, interpret results and perform model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open
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evidence of ability to teach one or more of the following: composition for screen, creative coding for musical applications, harmony and music theory, Irish traditional music, songwriting. To be successful
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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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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