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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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Overview This PhD project will take a comprehensive approach to exploring how corporate sustainability disclosure practices evolve in response to the integration of Machine Learning (ML) within
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or more of the following sub-disciplines: Cybersecurity; Cloud Computing; Computer Programming (C++, C#, python); Software Development; Mobile Application Development; Artificial Intelligence, Machine
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, machine learning models will be used to produce planning models for potential e-scooter/e-rickshaw stations (docking and charging). Findings from this project will contribute to evidence-based, community
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candidate will develop machine learning and algorithmic design skills. The candidate will gain valuable multidisciplinary skills in the area of machine learning and data analytics methods and their
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the development of climate change models of fashion supply chains and the design of computer model laboratory experiments (with students) that will aim to determine what and how participants learn from these models
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prediction model; specifically, those models that utilize network analysis and machine learning techniques. The aim of this project is to attempt to evaluate the relative strengths of this new strand
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, such as aspects of Social Identity Theory, Social Learning Theory, behavioural integrity, ethical behaviour, psychological safety, and psychological empowerment, this PhD will seek to identify how