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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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We are seeking a highly motivated and skilled Research Fellow to join the Cancer Data-Driven Detection (CD3) programme. CD3 is a new, multidisciplinary and multi-institutional strategic national
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, immune activity, or therapeutic function when applicable. Analysis of experimental data and preparation of figures, reports, and scientific manuscripts. Collaboration with students and other researchers
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Postdoctoral Fellow to join the team. This is an excellent opportunity if you thrive in an exciting and challenging environment. Core responsibilities include: Collecting and analyzing data, including periodical
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, representing UQ in professional forums, and building strong stakeholder networks. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About
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on empirical interpretation of the acoustic data, limiting the precision and transferability of DAS-based analysis between different installations. A significant barrier is a lack of understanding of how
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. Application Deadline: 01.03.2026 Estimated starting date: 01.09.2026