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economically important traits. The research contributes information used in commercial and in-house selection programs and requires interaction with industry stakeholders to facilitate the development
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they produce, in collaboration with industrial partners, and through access to the unique experimental facilities of SLICES-RI. The project is deeply embedded in regional and international Research & Innovation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
communities, cities, or even suburbs in areas like Raleigh and Durham. Both living experiences offer a multitude of advantages designed to fit your needs and still enjoy the perks offered by UNC-CH. Tuition
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in the classroom inclusive of both domestic and international student populations. • Design interactive and motivational classroom activities to fully engage participants and to reinforce student
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/futureobservatory_culturalpolicyreport_studioulster.pdf Pascual, C. (2025). ‘Interactive Nature Exploration with AR & VR for Wildlife’, Lets Nurture. Available at: https://www.letsnurture.com/blog/interactive-nature-exploration-using-ar-vr-to-connect
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opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation and civic
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; Definition of observed depth of closure in simple and complex nearshore regions; Modelling of nearshore wave field and evaluation of thresholds for wave-seabed interaction and sediment disturbance; Development
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experience with plant-microbe interactions. Self-motivation, dedication, and experience in both independent research and collaboration in a multi-disciplinary team. Strong experimental design and written and
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to be involved with the creations of the key documents supporting the submission, preparing for and participating in health authority interactions, and responding to questions raised by the FDA during
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 7 hours ago
computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material