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We wish to appoint a Research Fellow/Senior Research Assistant for a duration of four months full time/part time equivalent to work within a research team to conduct a mixed methods evaluation of
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/ About You Applicants should hold a PhD or equivalent and have demonstrable specialist expert knowledge in health psychology theory and methods. Further information about the requirements of the role is
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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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machine learning, and for precision-aware scheduling in distributed systems. They will design, develop and refine a software prototype system for distributed serving of machine learning models that leverage
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developing new inverse modelling (‘retrieval’) methods to extract 3D information from JWST secondary eclipse observations. The models will be applied to JWST observations of giant transiting exoplanets
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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stakeholders to drive sustainable forestry practices and regional development. You may also: Hold a PhD (or be near completion) in a relevant social science discipline, such as environmental sociology or natural
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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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for publication, research 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
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for publication, research 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