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and so the postholder will be required to travel abroad. For further details about the project, see: https://sbbresearch.org/projects/grace-epi/. Main Duties and Responsibilities 1. Take a leading role in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
trans-institutional partnerships. The IT Analyst/Programmer (Semantic Engineer) will provide IT/software engineering support, leading the development of and contributing to semantic pipelines and
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student-athletes. Assist with organizing and implementing on-campus recruiting prospect clinics. Assist with community out-reach and the overall development of student-athletes. Participate in and
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the laboratory’s research themes. The research work will focus in particular on the following area: The development of psychosocial skills in schools: the contribution of nonviolent communication. Where to apply E
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biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. R26-01 Materials Science R26-02 Materials Science (for women) - Researcher [Field specified]: one position
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Da Costa Sousa (ist12897) Organic Unit: Centre for Studies in Innovation, Technology and Development Policies Scholarship Theme: Modelling of the characterization of the building stock for analysis
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Team Our project brings together leading experts in biomolecular design and biosensor development, synthetic chemistry and microfluidics, building on our existing intellectual property in biosensing
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(the ENCIRCLE Programme). The post will involve assisting in the development of research proposals and the planning and delivery of the research project so the overall research objectives of the project are met
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Regeneration” (Reference: PROID2025010017). This project focuses on the development of advanced biomaterials combining additive manufacturing, piezoelectric coatings, and drug delivery systems to improve bone
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Simulation” (Reference: PID2024-157499OB-C31). This project focuses on the development of advanced computational models and optimization techniques for improving the performance of cochlear implants. It