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to supervision of MSc and PhD students, and participate in departmental seminars and collaborative meetings. You will also be encouraged to attend and present at national and international conferences, with
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in the field, especially design's relationship to social and environmental sustainability, human values, the climate crisis and the green transition. With a PhD in design, sustainability or related
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the advanced materials and manufacturing research theme. In addition, you will have the opportunity to work closely with a PhD student already recruited onto the project, as well as other project collaborators
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evaluating training needs and outcomes using a mixed methods approach. You will actively participate as a member of the Carbon Literacy team, offering general help and guidance to others who may be assisting
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the application of relevant equipment, software and techniques such as component and material fabrication (specifically via PVD techniques), materials characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy
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town-based football clubs as place-based communities in contemporary northern England, using a qualitative framework of biographical interviews and fieldwork methods. The project extends our work
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and innovation. Experience working with robotic systems, automation, or advanced manufacturing technologies. A collaborative mindset with a commitment to interdisciplinary research. A PhD (or working
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the mindfulness intervention Analysis of quantitative and qualitative data generated from the project Compiling a report to the funding body at the half way and end of the project Preparing a mixed methods article
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, materials and electrochemical testing methods and characterisations. Attend Faculty, Department and Programme meetings/boards as appropriate and proactively contribute to decision making. The project will
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the University's research culture and collaborative profile. Qualifications: PhD in Computer Science/AI or a closely related field. Extensive research experience in machine learning, deep learning, and self