17 phd-ecological-and-disease-modeling Postdoctoral positions at University of Liverpool in Uk
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PhD in a relevant scientific discipline, for example, Cell Biology-related subject, Tissue Engineering or Biomaterials. Excellent manual dexterity and experience in cell culture and models, and tissue
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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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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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We are recruiting two postdoctoral research associates with expertise in mass spectrometry-based protein analysis. You will be embedded in a larger team with another PDRA and a PhD, fully funded by
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these manipulations have on gene expression. This full-time role would be ideal for someone with a strong background in molecular biology in either model organisms or parasites and an interest in epigenetics
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are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical models at many scales including electron dynamics, soft-matter physics, materials
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Postdoctoral Research Associate: The Role of the Astrocytic Endosomal System in Health and Disease. Dr Kirsty McMillan at the University of Liverpool, UK, is seeking an outstanding postdoctoral
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31 December 2026. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be
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strategic dissemination, ultimately aiming for widespread adoption and commercial success. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written
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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