33 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" Fellowship positions in United Kingdom
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. The primary responsibility of this role is to deliver on an industry
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across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout
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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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across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout
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relevant PhD or equivalent qualification/experience in a related field of study, and will have experience in the coding and development of RShiny apps. The successful applicant will be a nationally
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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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reproducible workflows (code, metadata and documentation) in line with project and UKRI expectations. Prepare research outputs including papers, conference presentations and contributions to shared project
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in