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research and training tool highlights the complexity of educational interactions, care practices and organisational choices. The focus is on the integrated education and care system introduced by Decree Law
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Alfredo.Castello@glasgow.ac.uk This position is full time and has funding until 30 November 2027. To apply online at: https://www.jobs.gla.ac.uk/job/research-associate-5767973?source=gla.ac.uk Closing Date: 5
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22 Jan 2026 Job Information Organisation/Company Università degli studi di Firenze - Dipartimento di biologia Research Field Biological sciences » Biology Researcher Profile Recognised Researcher
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Services Group. This role provides practical, solutions-focused legal advice across employment and student-related dispute matters within a large, complex public institution. You will act as a trusted
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coordination and management of the complex decisions and regulatory requirements of each research protocol. The coordinator is involved in all aspects of each research protocol facilitating the mission of UNMC
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and management of the complex decisions and regulatory requirements of each research protocol. The coordinator is involved in all aspects of each research protocol facilitating the mission of UNMC and
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organization. ■ Organizational skills and attention to detail Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR3278-NATTOL-035/Default.aspx Work Location(s) Number of offers
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
: 295604 Employment Type: Permanent Faculty Vacancy ID: FAC0005439 Position Summary/Description: The Department of Radiology at the University of North Carolina at Chapel Hill is seeking a full-time ABR and
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role reports to the CTO and is suited for someone who thrives in a fast-paced, startup-like environment, blending project management discipline with product instincts. Key responsibilities include
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) diabetes and obesity. The field of research this position is engaged in is Biostatistics and data analysis. This research applies translational data science to bridge complex biostatistics and bioinformatics