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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position on Understanding and
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with international partners Qualifications To be admitted to the PhD programme at the Faculty of Medicine, applicants are required to have completed at least 5 years higher education, i.e. a master’s
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farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins for agroecosystems
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recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Environmental Sciences, University of Basel invites
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with Novel upscaling assisted by artificial intelligence) project financed by PEPR DIADEM (a public funding program on the development of innovative materials using artificial intelligence). The relevant
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on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
complexes. The PhD will be carried out within the newly created Inria project-team DELTA at the Inria Center of the University of Lorraine, focusing on computational biology and artificial intelligence
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of Artificial Intelligence (AI) to address such challenges offers an opportunity. This PhD will investigate how adopting agentic AI can improve supply chain resilience. The project aims to develop and empirically
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on the RESPOND Theme within the NIHR Emergency Preparedness and Resilience HPRU, this PhD will develop and evaluate a near real-time surveillance and decision-support framework that integrates routinely collected