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life-cycle analysis, GasTurb/PyCycle/NPSS, and CoCip is preferred Excellent written and verbal communication skills[AR1] is preferred. To apply, please contact Dr Eastwood - david.eastwood
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management. Interdisciplinary training in hydrogeology, contaminant transport modeling, and decision-making. Networking & knowledge exchange with leading academic and industry professionals. Career Pathways
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will be assigned a supervisory team and will be part of the School’s diverse PhD community. Further information on the CSRM members and their research expertise can be found on the CSRM website. We
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networks with Third Sector and/or community-based organisations, particularly those supporting racialised or marginalised groups; Awareness of critical social science theories/approaches, especially critical
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with a wide network of stakeholders, and explore new avenues for medical applications. For ongoing work and publications on this project, please see our website: www.cnnp-lab.com . This is a 12-months
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The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
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student community and maintain a culture where everyone can work and study together harmoniously with dignity and respect. This is reflected in our University values of ambition, impact, respect and
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Psychology. The research will be undertaken under the supervision of Professor Alan Marshall who leads the `Advanced Networks Research Group¿ in the School of EEECS and will also involve working with
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to industrial clients such as Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD, Bombardier, QinetiQ, Thales, Network Rail, Schlumberger and Alstom. Entry requirements A minimum of a 2:1 first degree in a
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community across research disciplines. Community and research culture is important to our PGRs and the FoE support this by working closely with our Postgraduate Research Society (PGES) and our PGR Research