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, external stakeholders and SMEs Lead or co-lead co-production or focus group activities, including planning, facilitation, and follow-up actions Oversee data management and contribute to data collection and
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; microprocessor technologies; hardware systems for signal processing; novel computer architecture implementations; Compute-in-Memory circuits, and digital system-on-chips (SoC) implementations. Demonstrated
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would be beneficial. Additional information This role is available for internal secondment as well as external applicants. For any queries, please contact Caroline Smith (c.smith1@yorksj.ac.uk), Deputy
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of Artificial Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd (GSK) and forms part of the MiMeC Pulmonary Vascular Theme and will focus
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work and that of your team, you will support a data- and intelligence-led HR service, helping drive insight, evidence-based decision-making, and measurable impact across the university. You will lead the
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, including but not limited to screening and enrolling new participants, scheduling and conducting trial visits, collecting research data in line with study protocols, entry of research data into an online
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support funds. This includes the creation of letters as well as maintaining accurate records through the use of spreadsheets. The post holder will also support the team in offering information, support and
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relevant defective information and repairs. All defects to be reported immediately to the help desk for further action. Must be computer literate and work well with computer/tablet systems What’s in it for
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an integrated, data-driven approach to marketing, recruitment, and student support activity. We are seeking an experienced Senior Business Analyst with deep CRM expertise - ideally including HubSpot - to lead the
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libraries, including nucleic acid extraction, amplification, and library preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling