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research methods. Knowledge and interest in mental health and body image / appearance psychology. In light of the project’s service user and equity-focused orientation, we particularly welcome applications
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We’re here to create and harness knowledge, to deliver opportunity for everyone. About the Opportunity Based in the Faculty of Education, this is an excellent opportunity for a talented and
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still hampered by: Ability to detect areas along the intertidal for optimal restoration3. Knowledge on how positive species interactions can be harnessed for rapid restoration4. Availability of devices
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knowledge and experience gained through alternative pathways is also welcomed. How to apply Please submit your application online, by clicking the 'Apply' button, above. When prompted use the reference number
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with knowledge and interest in structural dynamics, finite element analysis, programming and numerical methods. Applicants are expected to have achieved or be about to achieve a First-class honours MEng
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novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design
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, the software or staff knowledge while supporting the system. It is important to note that obsolescence management plays a key role in improving safety, security, efficiency, and lifetime of a system, and such
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-graduate level. Ideally, the applicant will have had previous knowledge and hands-on experience of cell biology or biochemistry and/or molecular biological techniques. She/He will be trained in areas
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-ableism, with a specific focus on language, ethics, and/or linguistic justice. The project would suit a candidate with a knowledge of disability studies and/or environmental humanities. The specific remit
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of the project(s) Collect, analyse and interpret research data and draw conclusions on the outcomes Mentor/co-supervise less experienced researchers/students in the group The Person Knowledge, Skills and