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We are seeking a senior learning designer or experienced educator with relevant experience to work on the design, development, and delivery of a new MSci blended on-campus programme at Faculty
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seeking to maximise Imperial's potential as a force for good in the world. Our Imperial Class of 2030 programme will nurture the most talented, enterprising and diverse graduating class we have ever served
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computer vision, image/video processing, or generative modeling is highly desirable, as is familiarity with LLMs and diffusion models. The successful candidate will collaborate with Prof. Stefanos Zafeiriou
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these into clear, actionable recommendations to programme/project boards as well as Operations and Infrastructure Committee. You will work closely with colleagues in the Portfolio team to evidence and drive data
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of Convergence Science. We are building a dynamic team of partnership professionals to help turn Imperial’s bold research visions into real-world impact. As we launch our pioneering School of Convergence Science
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partners, to collaborate and realise the Centre’s vision: to ignite curiosity for STEMB* in society by scaling, amplifying and better coordinating our institutional collaborations, activities and
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. The successful candidates will play a central role in shaping the theoretical and computational tools that underpin the programme’s vision. If you are passionate about mathematics, machine learning, and making a