56 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at University of Birmingham
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and food and drink receipt procedures are carried out and correctly recorded. Conform and adhere to all Health/Food Safety Codes of Practice and Control of Substances Hazardous to Health (COSHH
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literature reviews and research interviews Work with research nurses in participating sites to recruit patients to the study Play a key role in coding and analysing research data, including secondary analysis
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online carer materials and networks • Coding and secondary analysis of qualitative data • Training and support of carer co-researchers, alongside the study lead • Involvement in writing (for public and
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languages (python, JAVA script, C++) & deep learning Technical expertise (e.g., adapting/tweaking/debugging code) Ability to create online experiments, using online platforms such as Qualtrics Contribute
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& Merchandising Replenish stock across ambient, chilled, frozen, and fresh food areas following planograms and store standards. Rotate stock and check date codes to ensure product quality and reduce waste. Support
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, integrations, workflows, and digital services in accordance with agreed standards and development practices. Produce high-quality, maintainable, and secure code that meets functional and non-functional
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versioning, CI/CD, configuration management and infrastructure as code). Broad and comprehensive understanding of core IT domains including compute, storage, networking, security, identity and access
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data, and code linguistic information from video recordings. Participants will be recruited from several regions across the UK, from different age groups and backgrounds. The research associate will need
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food areas following planograms and store standards. Rotate stock and check date codes to ensure product quality and reduce waste. Support delivery processing: unloading cages, sorting stock, and moving
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before October 2026) High level analytical capability and ability to manage analytical workflows using appropriate statistical software (preferably R/Stata), documenting code and ensuring reproducibility