11 software-engineering-model-driven-engineering-phd-position Fellowship positions at University of Leeds
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the context of global climate change. The work will entail developing quantitative prediction models that will be integrated to wider health systems software for the predictions to be directly used for early
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Mamatha Nagaraj , Prof Helen Gleeson , Prof Gordon Love , and Dr Richard Mandle and at the University of Leeds. You will have an PhD degree (or have submitted your thesis before taking up the role) and
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systems and ultimately aims to broaden their uptake for urban energy supply. Working as part of a multi-disciplinary project team, featuring engineers, hydrologists, numerical modellers and policy liaisons
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have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social
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modelling or equivalent expertise? Do you want to further your career in one of the UK’s leading research-intensive Universities? If so, then this role working as part of the ‘Moving IMPACT: Integrated Means
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University to focus on data collection in the North East. The two research fellows will work closely together. You will have a PhD (or near to competion) in Nutritional Epidemiology or a closely allied
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This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you an ambitious researcher looking to achieve both novel research outputs and policy impacts in the field energy and...
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of researchers, spanning a variety of disciplines from clinicians, economists, engineers and social scientists, across the University Leeds’ School of Earth and Environment, Institute for Transport
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the benefits of investing in soil for society and the environment. It will propose a toolbox of good practices, models and business cases drawn from different parts of Europe and beyond to promote sustainable
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models developed rapidly, and you will support work to ensure that the methods can be run, evaluated and improved by partners in African universities and weather services. A significant part of your work