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of Bath and has 8 industrial partners, including battery manufacturers, recyclers, material suppliers and equipment producers. The focus of this is to investigate thermal recycling methods for functional
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datasets. In addition, laboratory experience in microbiological and molecular biological methods (eg qPCR, DNA extraction) would be desirable. This post is part of an international multidisciplinary
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expertise in interdisciplinary mathematical modelling, inverse problems, finite element methods (especially in complex and applied settings), machine learning techniques in scientific and industrial
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of period pain on the lives of adolescent girls and their school engagement. The project, led by Dr Abbie Jordan, aims to use a mixed-methods approach to understand barriers to school engagement during
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About the role The Department of Psychology is seeking to recruit a Lecturer to join the DClinPsy programme to cover clinical duties to support the department. In this role, the successful candidate
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you Working knowledge and experience of using additive manufacturing, specifically powder bed fusion Design for Additive Manufacturing methods and tools (software) A keen interest in developing
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delivery of the work, the post-holder will work closely with the Finance Business Lead, the Programme Manager, the Change Manager and HR and Comms Leads, and will play a pivotal role in coordinating cross
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field utilising statistics and advanced quantitative methods. You will be proficient in data analysis tools, such as Microsoft Excel and SQL, programming languages like Python and R, and data
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economics, and possess advanced expertise in one or more areas such as quantitative methods and spatial mapping. You thrive in collaborative environments and have the communication skills to translate complex
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have extensive knowledge of exact and metaheuristic algorithms for complex combinatorial problems. Have computer programming skills in at least one of these computer programming languages C++/Java/Python