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This is a full-time, 2.5-year fixed-term Research Assistant/Associate position and provides an exciting opportunity for an early career scientist who is interested in wearable technology and novel machine
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. Candidates are expected to hold a PhD in Structural Geology or related discipline, including experience of fracture description and statistical analysis methods. The intended start date is April 2026, or as
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agenda for sustainable livestock in Europe. You will also help design and facilitate structured stakeholder/scientific workshops to review and refine these findings. You will be responsible for integrating
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in techniques of developmental biology and expert in mRNA detection using HCR technology. Experience in confocal imaging and 3D analysis of confocal stack is essential. The role is expected
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data on housing construction, search and price information, and other data that vary depending on the focus of a given sub-project. You will also be learning how to work with Big Data, with billions
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therefore the importance of providing opportunities, structured support and encouragement to engage in professional development each year. What we offer · A friendly, diverse, and supportive working
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suitable for an individual who does not yet have a national training number and wishes to pursue a career in the cancer field. You will take part in a structured training programme of research leading
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reporters; advanced imaging and quantitative phenotyping to resolve root structure and cellular responses at high spatial resolution; and transcriptomic and chromatin-based approaches to identify regulatory
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the next generations of technology governance leaders. It is one of the few organisations in the world to focus on the governance of AI from both technical and policy perspectives. The Postdoctoral
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testing for all three projects. Applicants should hold a relevant PhD/DPhil (or be close to completion) in engineering or a related discipline. Post-qualification research experience and a strong