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the University of Edinburgh and potentially other museums. We are looking for someone interested in conservation genomics, working with museum specimens and a desire to develop bioinformatics/data
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use a variety of molecular and cell biological methods together with bioinformatic approaches to evaluate the zoonotic potential of newly discovered henipa-like viruses in shrews. As a PhD student, you
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will use cutting-edge molecular and bioinformatic approaches and utilise a unique bacterial strain collection we have assembled. You will join a large community of molecular microbiologists within
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meet the following criteria: Essential Qualifications: Applicants for PhD must have a first-class or upper second-class undergraduate degree (or equivalent) in Neuroscience, Biochemistry, Bioinformatics
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, Mathematics, Physics, Bioinformatics, Computational Biology/Neuroscience/Chemistry, Bioengineering, Biotechnology or other related fields Demonstrate academic excellence, typically reflected by graduation with
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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, Mathematics, Physics, Bioinformatics, Computational Biology/Neuroscience/Chemistry, Bioengineering, Biotechnology or other related fields Demonstrate academic excellence, typically reflected by graduation with
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bioinformatics and computational biology Strong interest in immune-brain interactions and food allergy-related immunology Excellent communication skills and fluency in English A collaborative mindset and
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bioinformatics and computational biology Strong interest in immune-brain interactions and food allergy-related immunology Excellent communication skills and fluency in English A collaborative mindset and
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V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain