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About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
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full-time rate, part-time will be pro-rata. This fully funded project is a collaboration between the University of Leeds (Dr Matt Tidmarsh) and HM Inspectorate of Probation. This project explores
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for the School of Creative Arts. For information about the Doctoral Landscape Awards at UH more broadly, please contact Dr Rowland Hughes .
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English is not their first language. For informal enquires please email: Doctoral College Admissions or Dr Evelyn Hesse using the following format in the email subject line: ACP PhD Studentships. Your
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are found in the context of airway-derived metagenomic data. The project will be supervised by Dr David Cleary (UoB), Prof. Alan McNally (UoB) and Dr Meera Chand (UKHSA). Applications of a two page CV and
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skills (Python preferred) Experience with processing and analysing 3D data Excellent written communication skills An interest in interdisciplinary research and enthusiasm for developing novel methods
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delivering sustained research excellence and creating potential for future external funding opportunities. Please contact Dr. Brian Kiraly, Brian.Kiraly@nottingham.ac.uk for further information if you are
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more complex correlations between the channels. Moreover, this method does not allow to easily include information from different sources, for example from nuclear experiments. Additionally, for many
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Master's thesis -An interest in turbine aerodynamics, secondary flows, and real-engine flow physics -Programming and data-analysis skills (Python preferred) -Curiosity and motivation to work on complex
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programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Jelena