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to have the following skills and experience: Essential criteria PhD in Neuroscience or near to completion* At least one first-author publication in a scientific journal Extensive experience working with
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the evaluation of the local food environment context in Liverpool, how it affects communities in social housing experiencing food insecurity, and the epidemiological modelling of the impact of a series of
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via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, physics or a related discipline, and have experience
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essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and
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ideas/adaptation and development of research protocols. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in
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translational healthcare research, including a suite of clinical MRI scanners located in a hospital environment (0.55T, 1.5T, 3T and 7T), a 9.4T preclinical MRI scanner, access to a specialized Liver Biobank
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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comfortable working alone in the field, often in inclement weather. From time to time the candidate will be expected to contribute to other projects (e.g. fieldwork, lab work). You should have a PhD in peatland
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 5 days ago
. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a candidate with an interest in flight mechanics and sensory systems
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the development of principled, mathematical tools. Such tools need to be able to handle a variety of working environments (e.g., dynamic environments), input data (from traditional frame-based data to non