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through chemistry, applied analytical chemistry and sensor technologies with the aim to deliver a new advanced detection tool. Alongside this, a machine learning approach will be utilised with the aim
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, natural sciences, engineering, computational sciences or other scientific backgrounds. Candidates with strong mathematical, machine learning, artificial intelligence or modelling skills are welcome
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related discipline. This project would suit individuals from a variety of backgrounds such as machine learning, statistics, and economics. Candidates with experience or keen interest in predictive modelling
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the infiltration of pollutants into car cabins (and thus reduce the exposure of the occupants) or to identify areas where they can accumulate (areas to be avoided by pedestrians and cyclists) depends on these issues
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greenhouse gas emission levels and align these to sector standards. About You This role requires knowledge of Data Science, software development, along with AI/Machine Learning technology. Knowledge of event
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years. What will you Learn? As a PhD student, you will have the opportunity to develop strong independent thinking and research skills, focusing on qualitative research methodologies and ontology