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to productive and persistent forage systems. The doctoral student will be part of the forage research group at the Department of Crop Production Ecology in Umeå, while the physical place of work may be either
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, and actionable within day-to-day operations.The project will investigate how environmental and social sustainability objectives can be translated into operational process indicators, how sustainability
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Application deadline: 01/12/2026 Research theme: Quantum communication, condensed matter, quantum optics How to apply: https://uom.link/pgr-apply-2425 This 3.5 year PhD project is fully funded
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at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant
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. Selection process For more information please contact Prof. dr. ir. Pieter Bonte, mail: [email protected] . Website for additional job details https://www.kuleuven.be/personeel/jobsite/jobs/60759584?hl
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at [email protected] . Questions about the application process can be sent to BI's PhD Administration at [email protected] . Application deadline: 1 November 2026 Where to apply Website https://academicpositions.com/ad/bi
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Department of Communication and Culture invites applications for this four-year doctoral scholarship in the EMANAIRE project “Managing Team Communication in AI-Augmented Teams”. About EMANAIRE EMANAIRE: https
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website of the Faculty of Electrical Engineering, Mathematics and Computer Science. Conditions of employment Doctoral candidates will be offered a 4-year period of employment in principle, but in the form
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strategies. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with
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for a doctoral researcher to study how generative AI is changing learning, expertise and relationships at work. The PhD is a four year project that is part of EMANAIRE (Empowering Human Agency in AI