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in every home and car; it would completely change how we understand our environment, similar to how CO₂ sensors in air conditioning systems have made energy-efficient climate control possible
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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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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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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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diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems