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optimisation and machine learning code, understand transportation modelling approaches, read and digest literature on the topic and write academic papers. Essential requirements: PhD or equivalent qualification
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possess a relevant PhD or equivalent qualification/experience in maths, physics, computer-science, meteorology, or a related numerate scientific discipline. The successful applicant will be a nationally
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funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related
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the field of applied quantum algorithms and quantum computing. We welcome the applicants with background in various research subjects, including but not limited to quantum optics, groups and algebras, machine
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IoT, sensors, Blockchain, AI, and Machine Learning tailored to address these needs. The role may require the postholder to develop a comprehensive strategy for investigating the role of testbeds in
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implement algorithms, analysis methods, visualisation tools and machine learning approaches to interrogate multimodal ‘omics datasets. You will create mathematical and/or computational models