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Field
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development of co-designed methodologies involving key stakeholders such as law enforcement agencies (LEAs), civil society organisations (CSOs), and international bodies. The postholder will specifically
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, employability and personal skills; Support to carry out a required three-month placement, known as an Innovation Fellowship, with an academic or non-academic partner during the course of the studentship
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). The PhD candidate will primarily conduct quantitative research, including the design and analysis of survey and experimental studies. The PhD will be based in the Environmental Psychology Group
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
design, commissioning, assembling and optimization of new growth/production and transfer equipment. Such devices will then be used in a wide range of applications such as on-chip optical routing, flexible
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
and reasoning techniques to support predictive maintenance and asset health monitoring •Design feedback mechanisms that deliver interpretable insights (e.g. alerts, recommendations, confidence scores
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into their structure. However, we don’t yet know how to design these complex printed parts and we are still developing new leading-edge materials to grant them new capabilities. Advantages: In this PhD studentship, you
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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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delivery or regenerative medicine. The student will formulate new 3D-printable materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex
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materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex multi-scale shape changes, applicable to biomedical, micromechanical
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randomised controlled trial (RCT) using a waiting list design. Fifty school pupils aged approximately 11 to 18 with non-anorexic eating disorders will be recruited from schools in the Midlands. Participants