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trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data. The successful candidate will contribute to understanding how modern machine
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subject. Experience in working with data from key X-ray observatories such as NICER, NuSTAR and IXPE Experience, or training, in applying machine learning techniques to advanced models of accreting black
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scheme which helps you to buy a bike and discount with local bus and train companies. You can also take advantage of our cost-effective and environmentally friendly Tusker Car Benefit Scheme, allowing you
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biochemical, structural and computational techniques plus the most important ingredient, imagination, to make machines that exceed nature’s capabilities. The Dept. of Biosciences partners with other areas
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. Experience of developing engaging learning and teaching resources. Skills Demonstrable ability to plan and manage independent research. Ability to use multimedia computer software including graphics design
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include widening participation, enhancing diversity, strengthening international partnerships, and fostering a research-led learning community that equips students to address complex global challenges. In
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, providing strategic support across learning and teaching, the student experience, research, finance, and impact. Working closely with the Head of Department and Senior Management Team, the post holder will
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representatives o carrying out data analysis and report writing. Candidates will have (or be working towards) a postgraduate degree (ideally PhD) in any of the sectors: Data Science / AI Machine Learning
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environmentally friendly Tusker Car Benefit Scheme, allowing you to lease a brand-new electric or hybrid vehicle with savings on tax and National Insurance. · We have a genuine commitment to developing our
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Lore Thaler. The successful candidate will assist with the delivery of training to teach echolocation and echolocation instruction to visual impairment habilitation workers and to people with vision