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Field
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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teach you many translatable skills and knowledge from the fields of sleep medicine, sleep physiology, statistics, artificial intelligence, and psychology for example. A very significant and specific
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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-depth understanding of the chemical pathways, the PhD researcher will make a significant contribution to knowledge to the mechanistic understanding of thermal decomposition of polymers under varying
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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives (1
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A 3.5 year PhD Engineering studentship under the supervision of Dr Evgeny Petrov . Blade vibrations in compressor and turbine bladed disks are one of the critical issues in designing gas-turbine
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Chemistry, Physics, Chemical Engineering or Material Science. Solid knowledge in Physical Chemistry and Surface Science. Pre-knowledge on programming and Molecular Simulations (MD or MC) are desirable. Only
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academic team in the newly built Dalton Building with state-of-the-art facilities. Working with an industrial partner will hugely enhance the students’ capability to apply theoretical knowledge to different
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problems in health data science. Air pollution is composed of several different environmental pollutants, for example particulate matter (PM10 and PM2.5), ozone (O3), nitrogen dioxide (NO2) and sulphur
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closely aligned discipline. Masters of science level qualification in a relevant discipline Knowledge of AI Experience in working with key stakeholders in business and government Proficiency in programming