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Join us as a Senior Lecturer in Human-Computer Interaction and help shape the future of responsible, human-centred computing at our growing School. We welcome academics with background in HCI and
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University campuses About the Role Join us as a Senior Lecturer in Human–Computer Interaction and help shape the future of responsible, human-centred computing at our growing School. We welcome academics with
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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats
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Job Reference: 768308 Your new role: Our team is looking for a proactive and organised administrator to join us to provide excellence in learning and teaching support. This role supports
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...
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are: Rapidly identify AMR and predict treatment responses through use of genomics and machine learning in a clinical context Detect healthcare-associated transmission of AMR in real-time and transform outbreak
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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communities full of learning. This dedicated team provides comprehensive support for community-focused initiatives, fostering a vibrant and inclusive University environment. Their efforts focus on enhancing
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Advisory System, or data from other implantable or wearable devices. This involves consideration of both feature-based machine learning or data science approaches and neural mass parameter estimation
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch