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point of contact and administrative support for the Management Committee, academic staff, Early Career Researchers and graduate students in carrying out the Centre's programme. The role supports
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running of the post graduate courses within the world class Institute of Metabolic Science. If you have experience in student administration, excel at multitasking, and possess exceptional communication
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a materials engineering perspective: energy systems, advanced manufacturing and materials, computational and data-driven engineering, and robotics. The Department of Engineering is one of the few
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Applications are invited for a University Assistant Professor in the area of ethical and trustworthy use of machine learning. This is a joint post between the Department of Engineering and the
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subject who have the ability to lead an exciting, innovative and fundable research programme. The applicant would typically have at least 3 years of post-doctoral experience and may already have experience
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through the Isaac Science free online platform and through a weekly programme of work and tutorials in our STEM SMART programme of work and tutorials in our STEM SMART programme (https
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achieved through the Isaac Science free online platform and through a weekly programme of work and tutorials in our STEM SMART programme (https://www.undergraduate.study.cam.ac.uk/stem-smart ) which will
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through the Isaac Science free online platform and through a weekly programme of work and tutorials in our STEM SMART programme (https://www.undergraduate.study.cam.ac.uk/stem-smart ) which will develop a
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the team, including our training courses (https://science.ai.cam.ac.uk/resources ), study groups and lecture courses such as Machine Learning and the Physical World and Advanced Data Science (https
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(CRIS) tools which enable the assembly of data from patients receiving mental healthcare in UK NHS mental health trusts. The research programme is led by Dr Emanuele Osimo (Clinical Lecturer in Psychiatry