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) is seeking a talented academic to join as a Lecturer in Machine learning and Computer Vision. We are looking for a teaching and research academic with a strong expertise in applied AI and current
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of domain adaptation or domain generalization techniques. This project will yield significant economic and societal benefits, including supporting the efficient design, installation, and operation of medical
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. If you're driven by process improvement, testing excellence, and the opportunity to contribute to transformational change, this is the perfect opportunity to bring your skills to a purpose-driven project with
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improvement, reporting, and business functions of SQRH, while providing high-level advice, overseeing administrative processes, and delivering special projects as needed. Oversee and manage SQRH’s financial
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of Computer Science, AI, Information Technology, Computer Engineering, Software Engineering, Electrical Engineering, Biomedical Engineering, and Robotics. The ideal candidates will have both, an established research
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; respond to enquiries; provide advice on placement rules and processes; and triage issues appropriately. Administrative Coordination: Organise placement preparation activities (e.g. fit testing, training
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academic staff alike. Key responsibilities will include: Provide timely and accurate information to students, staff, and stakeholders in line with University policies and procedures. Process and coordinate
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part of a dynamic team that provides expert guidance on hazardous chemical waste management. You will take a leading role in managing the safe and efficient operation of our chemical store. You will
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the academic promotions process. About You Applicants should possess a PhD or near completion of a PhD in Sociology. Additionally, you will demonstrate: Demonstrated knowledge in a relevant field or sub-field
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via the academic promotions process. About You Applicants should possess a PhD or near completion of a PhD in Anthropology. Additionally, you will demonstrate: Demonstrated knowledge in a relevant field