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& National Security), underpinned by cross-cutting Fundamental Research. In the Environment & Sustainability Grand Challenge, we will develop machine learning and AI as a transformative technology to benefit
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. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as
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), disability, marital status, sexual orientation, or military status. POSITION RESPONSIBILITIES The CECS faculty members will be responsible for three primary responsibilities: Teaching: Develop and instruct
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national and international research networks. We are looking for someone with a PhD (or near completion) in a relevant field such as machine learning, biomedical engineering, or neuroscience, with expertise
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and Transport Systems Laboratory, equipped with cutting-edge technology that supports research in autonomous transport, decarbonisation, machine learning, travel behaviour, air transport management, and
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departments, and a thriving ecosystem of museums, libraries, and research centres. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a deep
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continuous programme improvement. Participate in educational initiatives and activities to enhance student learning outcomes. Requirements: A PhD or a Master’s degree (with significant industry experience) in
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the environment of a large international science collaboration Familiarity with machine learning techniques For a full list see the job description The opportunity to continue your career at a world-leading
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will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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, from Undergraduate Degree level to PhD, and much more in between. We are currently recruiting for an inspirational Lecturer in Special Educational Needs, Disability and Inclusion. We are seeking