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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
-proof healthcare? This PhD position offers the opportunity to explore how interprofessional teams can use insights from the Epic electronic health record to learn together, improve care, and strengthen
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Pryadka Tel.: +40 (765) 734 800 Web: https://www.phd-jobs.net Where to apply E-mail info@phd-jobs.net Requirements Research FieldMedical sciences » MedicineEducation LevelBachelor Degree or equivalent
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD position is part of project embedded within the Marie
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areas of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment
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scientific articles, resulting in a PhD dissertation; Present findings at (inter)national meetings/conferences; Contribute to the wider work of the SUPER project Contribute to educational activities
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. Where to apply Website https://jobaffinity.fr/apply/8woewsfhgjjxs0kadn Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications • PhD in at least one of the following
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tissue architecture, often lack maturity, and can show significant variability. In this PhD project, you will investigate how engineered microenvironments influence organoid formation and development
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philosophy, and a CV including education, publications, talks, and relevant experience. REQUIRED: PhD in business and/or management, engineering, computing, math, science, humanities, or social sciences with a
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PhD Positions Application Deadline 2 Apr 2026 - 23:59 (Atlantic/Canary) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 20 Offer Starting Date 19 Mar 2026 Is the job funded
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outside academia. Your immediate leader will be the Head of Department. About the project The PhD project aims to advance next‑generation drilling technologies and AI-driven optimization methods