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31st October 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Trustworthy Agentic Artificial Intelligence Apply for this job See
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20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis Research
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chirality by exploiting attosecond light-driven electron dynamics to overcome the limits of conventional chiro-optical methods. Targeting applications in the life sciences and advanced technologies, it
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of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering
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12 Sep 2026 Job Information Organisation/Company Luleå University of Technology Research Field Other Researcher Profile First Stage Researcher (R1) Application Deadline 31 Oct 2026 - 12:00 (UTC
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of feeding the world better while preserving our environment. It also means benefiting from a high quality of life and working conditions that reflect our core values: diversity and social and cultural
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from animal hosts (are ‘zoonotic’), yet it is hard to predict which pathogen species are likely to cross into human populations and why. This project will combine AI Large Language Models, extracting
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–V sources from established collaborators will provide the photonic input; the student will build and characterise the QD–vapour interface itself, and characterize it using quantum-optical methods
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal