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will research the process of creating 3D printed objects focusing on its hybrid materiality, and comparing it with traditional artisanal crafts. The candidate will identify, describe and analyse
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High speed photography to investigate surface wear and fatigue in railway rail and wheel steels
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of the users (humans) and the physical and technological world. Both people and the physical world interact through networks, social and technological (e.g. the power grid). As our knowledge in science, society
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and makers can be evidenced internally in museum catalogue metadata and externally in how they are displayed both physically and digitally. The successful candidate will have academic experience in
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deterministic causality, even though it is seemingly autonomous like a robot, can acquire mechanically attained computational (Brain-like) functions, behave autonomously, and even realise cognitive behaviour is a
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the ability to design a programme of research that will produce high quality outputs and have real impact in academia and beyond. As an equal opportunities employer, we particularly welcome applications from
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will work with the programme leader, academics and practice partners to support students and will attend meetings across the partnership locations. They will be expected to contribute towards development
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knowledge of The Ionising Radiations Regulations 2017 would be advantageous Desirable Application / Interview Further Information Next steps in the recruitment process It is anticipated that the selection
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/marc For informal enquiries about this job contact Josh Dean, Head of Digital Enablement and Development: on j.dean@sheffield.ac.uk Next steps in the recruitment process It is anticipated
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the recruitment process To be confirmed as appropriate. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact Jennie Gladwin