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Supervised Machine Learning and Reinforcement Learning. The objective is to significantly enhance battery performance and longevity. While conventional methods rely on either physics-based models or high-level
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research associates and PhD students. You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities
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applying appropriate and innovative health economics research methods to evaluate health, social care and population health interventions and policies with a particular focus on national upscaling and
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learning and artificial intelligence methods in spatial analysis within the Department. Land Economy is defined as the multidisciplinary study of how society interacts with the environment, both natural and
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contract initially for 18 months, extendable up to 3 years contingent upon successfully meeting project milestones. What you should have: • PhD (or nearing completion) or equivalent industry experience in
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in Community Connectedness. This position will play a key role in developing the data, methods and evidence on community participation in the UK, working across the Centre’s activities. The Centre’s
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Senior Researcher to support the delivery of a range of funded applied health research projects, providing qualitative and mixed methods process evaluations. This is an exciting opportunity for someone who
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(PhD Enty Level - $108,156) p.a. plus 17% super Level B: $119,231 - $141,581 pa plus 17% super Pioneer Bayesian methods for clinical trials / Collaborate with world-class researchers / Contribute
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake