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, experience and enthusiasm to build on current strengths in maintaining and developing a leading research presence. They are likely to hold a PhD or equivalent postgraduate qualification. Standard professorial
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impactful and rapid change. The successful candidate will line manage, support, and develop Research Associates and PhD Students, as well as support computational research projects across the PBCI and
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to Degree level/Level 6 vocational qualification or have an equivalent level of practical experience. A Masters or PhD in Heritage Studies or a related field would be advantageous. Previous experience
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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to register an account with our recruitment system (if you have not already) and apply online. Applicants must have (or be close to obtaining) a PhD. Appointment at Research Associate level is dependent
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and classifying material, and visualization methods. Candidates should possess a PhD in a field relevant to the interface of energy technology, economics, data science and public policy. Please see the
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to develop and improve current simulation methods (quantum and classical) to study such systems. The overarching aim of the post-doctoral position is to develop and apply computational approaches that enable
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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on the genetics of appetite and obesity. Candidates should be of postdoctoral level with relevant experience of canine or/and human genomics, or molecular biology. Candidates without PhD but significant expertise