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the supervisors, fellow PhD students, postdocs and international colleagues associated with the CreAI Lab (creailab.net). The research tasks will include collecting problem solving data with both humans and AI
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professor Associate professor Education EngD Finance HRM IT Lecturer Legal staff Management Marketing and communications PhD Policy and staff PostDoc Professor Research, development, innovation Researcher
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grant program - NeuroSync, supported by dedicated technicians and embedded in a dynamic team of PhD students and postdocs working with complementary technologies. NeuroSync investigates how species
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development Integrated training, coaching, and peer consultation, with monthly meetings for PhD candidates and postdocs at one of the participating institutions. Direct collaboration with policy partners
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: Conduct original research within the fields of Semantic Technologies and Artificial Intelligence, resulting in a PhD thesis. Collaborate with other PhD candidates, postdocs, and societal partners across
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the fields of Semantic Technologies and Artificial Intelligence, resulting in a PhD thesis. Collaborate with other PhD candidates, postdocs, and societal partners across the consortium. Participate in DECIDE
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the fields of Semantic Technologies and Artificial Intelligence, resulting in a PhD thesis. Collaborate with other PhD candidates, postdocs, and societal partners across the consortium. Participate in DECIDE
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degradation of selected contaminates The PhD will work closely with a Postdoc who focuses on physicochemical treatment and resource recovery strategies. Together, you form the core research team within
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. Caterina De Bacco from the Network Architecture and Services Group. You’ll become part of a diverse, enthusiastic team of academic staff, PhD students, and postdocs in the Network Architectures and Services
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University of Technology is a leading international community where innovation in aerospace meets global challenges. Our support and scientific staff, including PhD candidates, postdocs, and students, largely