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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 challenging properties of uncertainty, irregularity and
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creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative interdisciplinary research environment is
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letter (maximum 2 pages) and your CV (maximum 2 pages). Please make sure that your cover letter and CV provide adequate information on your academic ability, research potential, communication and
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/applicants/english/ ). Funding information: The studentship is for 3 years and provides a tax-free stipend of £20,780 per annum for the duration of the studentship plus tuition fees at the UK rate. Due to
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academia and industry. Uncover and quantify critical degradation mechanisms to inform the design of next-generation fusion materials. Translate sophisticated scientific data into impactful insights through
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for this vacancy and to view further information about the role, please click the 'Apply' button above. We reserve the right to fill the position with a qualified candidate prior to the conclusion of the advertising
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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to inform the design of next-generation fusion materials. Translate sophisticated scientific data into impactful insights through clear communication to diverse audiences, including industry stakeholders and
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within the icing group at Cranfield has captured valuable data on droplet splashing, rebound and secondary impingement through experimental research in the vertical icing wind tunnel at Cranfield
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL