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allows. Opportunities for professional development through training programmes and research collaborations within the Drive-RM consortium (https://drive-rm.nl/) A close-knit international research
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-Enhanced Biomaterials for Next-Generation Skeletal Repair Our goal: To develop next-generation biomaterials that actively stimulate bone regeneration by delivering molecular instructions directly to cells
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
interprofessional care teams in making optimal use of available healthcare information for care optimisation. Your colleagues: You will be based at the Department of Educational Development and Research and the
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, you will generate and study human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes and engineered cardiac tissues (ECTs). You will develop patient-specific cardiac models to identify
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work independently and develop your ideas. A close-knit community of colleagues to collaborate and grow with. A solid pension plan via ABP, company fitness schemes, and access to various university
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measurements. A key element of the project is the development of an interactive supply chain simulation game that serves as an experimental research platform (https://msgames.in/ ). In addition, you will design
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Modelling for Dementia Support Technologies Our goal: This PhD project is part of the European project DEM-CAPS (www.demcaps.org ) aimed at developing and validating a health-economic modelling framework
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, and behavioral intervention using both quantitative and qualitative approaches, including field studies and stakeholder participation. More information can be found here https
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subdomains within accounting, i.e., auditing, financial accounting, and management accounting & control. As a PhD candidate, you’ll develop research that matters. You’ll choose a topic within one of
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University!Do you want to be trained to develop multi-level thrombosis risk prediction