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variety of methods and approaches Essential Application / interview Wide range of knowledge of tools and techniques for developing high quality software (e.g. continuous integration / deployment, software
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to overcome limitations of the current process, providing a method to print dry, formulated electrodes directly onto a current collector, with positional and compositional printing control for advanced customer
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project is dedicated to advancing analytical methods for designing controllers for infinite-dimensional systems governed by PDEs. The focus will be on developing finite-dimensional and robust controllers
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the Research Programme Manager, academic and University-wide administrative colleagues as part of a team. You will be responsible for providing a high-quality administrative support service to all aspects
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teaching programmes, which will include identifying learning objectives and selecting appropriate curricula, selecting teaching methods, resources and reading, designing and producing study material using
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reputation for novel, research-led teaching. Main duties and responsibilities Design an experimental regime and testing methods for battery safety testing of assessing the safety of Li-ion containing theatre
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decision making on programme design, approval and delivery. Oversight of the processes that support administration of the curriculum, including leading on programme and module development, amendment and
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urgency. This involves drawing upon depth of knowledge, skills, experience and expertise to deal with the job in hand. Make decisions on the methods to be used and the sequence of actions. Undertake
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related to the programme. You will be required to work flexible hours to accommodate occasional early starts or weekend events. Main duties and responsibilities Collaborate with the wider Maker{Futures
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Dynamic skewness in longitudinal data models School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Miguel Juarez Application Deadline: Applications accepted all year round Details Panel (longitudinal) data enables learning the dynamics and relations of (groups of)...