204 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at University of Nottingham
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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holiday allowance of 27 (pro rata) days per year plus additional university closure days and bank holidays Ongoing support to develop your skills, career and gain industry recognised qualifications Employee
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will play a lead role in the production and analysis of these simulations, including code development, simulation runs, and like-with-like comparisons to observations. Moreover, you are encouraged
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this project as Knowledge Mobilisation lead and will be responsible for driving the strategy and delivery of this programme grant workstream. You will also support trial development and process evaluation
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Sciences, and its development in research and teaching. The successful candidate will be the first leader of Discipline in Psychology at UNNC and will pioneer the development of our Psychology programmes
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gaps in data and experience of designing, developing, testing, collating and integrating data collection, working with highly sensitive HR data and being able to adapt and understand the needs
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environment Our reward scheme with bonuses of numerous values for excellent work. A commitment to staff development through the provision of training, continued support, and career progression opportunities
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University, and offers unique teaching and research opportunities in a highly dynamic economy. The successful candidate will be expected to contribute to teaching and curriculum development for undergraduate
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and delivery of this programme grant workstream. You will also support trial development and process evaluation activities for Rapid Eczema Trials. You will be expected to develop new concepts and ideas
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and Materials to work across several industry relevant projects and for the development of future group research strategy. MAS has a large intra-disciplinary team of researchers, engineers, technicians