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Field
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The Department of Genetics is seeking to appoint a short-term postdoctoral Research Assistant/Associate to start as soon as possible to complete work with Professor Richard Durbin on studies
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seeking a full-time Research Assistant (“pre-doc”) to work closely with Dr. Misato Sato and Dr. Aurélien Saussay on several research projects at the intersection of environmental economics and labour
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: Research Data Collection: Create and monitor online surveys using REDCap, conduct participant interviews, and assist with project development and ethics applications. Collaborate with Stakeholders: Work
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to applicants with published research or exceptional academic performance. Experience in computer vision or audio processing is desirable and will be considered an advantage. A doctoral candidate is expected
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performance. Key research themes include the extent of graphene dispersion, polymer–filler and filler-filler interfacial behaviour, and the role of nanoscale architecture in determining macroscopic performance.
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newly established state-of-the-art smart textiles lab facilities and work alongside a team of senior academics and doctoral researchers. Through our Doctoral College, postgraduate courses, group
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
possess sufficient breadth or depth of knowledge in the discipline and of research methods and techniques to work within own area. The candidate will also have the ability to continually update knowledge
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research; (c) A strong foundation in technical, analytical, and research skills, enhancing your career prospects in academia, R&D, and the growing clean energy sector; (d) Opportunities to present your work
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subject relevant to the proposed PhD project (such as mathematics or statistics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes