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numerical data, and knowledge, understanding and experience of good laboratory practice are essential. Main duties and responsibilities Assist with development of culture methodology of rotifers and feed
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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culturing, pathogenicity assays, molecular biology, genome sequencing and genomic analyses. Experience in field-based assays would be beneficial as large-scale disease screening is planned for March 2026
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
environments. Training and Student Development: The student will gain hands-on experience in: Molecular biology and aptamer engineering Nanopore fabrication and single-molecule sensing Data acquisition and
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, ideally in a large, complex estate or similar environment. Strong experience in conducting risk assessments, developing method statements, and auditing contractor work to ensure regulatory compliance
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January 2026 Details DUNE is a large international project to design, construct and operate a multi-kilotonne scale liquid argon detector for neutrino physics, neutrino astrophysics and a search for physics
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& Infrastructure team is responsible for the construction project delivery across all campuses forming the Durham University estate. The team manages a large capital programme from inception to completion
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& Events, Nursery and Print within the Commercial Services Directorate, including preparation of various schedules and analysis. Work with key stakeholders to present monthly results and interrogate data
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connections with the large community of statisticians across King's health faculties. This collaborative network provides excellent opportunities for professional development and knowledge sharing. This role
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manipulation and analytical skills using Python and basic ML libraries Experience of developing business UG and PG modules in areas of data analysis, Big Data, AI applications and machine learning. Industry