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of lightweight, logic-based machine learning approaches. In addition, agents must support collective decision-making to achieve system-wide optimisation rather than isolated, local improvements. Finally
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-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A culturally rich university with a palpable commitment to the public
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communication, organisational and IT skills. Key Responsibilities Deliver high‑quality teaching, learning and assessment across Beauty Therapy programmes. Act as a course tutor, providing pastoral support and
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of 50,000-60,000 words Computer requirements for studying online Broadband internet connection 3 mbps or higher Internet Browsers Our online learning platform Moodle is compatible with any standards compliant
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for early-stage cancer using statistics and/or machine learning (including deep learning where appropriate). You will join a vibrant and growing research group of 12 scientists (six postdoctoral researchers
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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-leading manufacturers on initiatives involving Industrial Internet of Things (IIoT), machine learning and AI, advanced automation, and HMI technologies. Our software development teams work across the
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disciplines, exemplified by its internationally recognised research in AI, computer vision and machine learning, as well as in networks and cyber security. The School hosts an Academic Centre of Excellence in
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of doctoral students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a
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the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as