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to Research Associate, you should hold a PhD in infectious disease epidemiology, evolutionary biology, bioinformatics, or related quantitative discipline with strong analytical skills and an interest in
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bioinformatic analyses and will liaise with researchers investigating other aspects of the channels, including pharmacologists and cell biologists. What We Offer As an employer, we genuinely care about our
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reasonable to do so and, where successful, reasonable adjustments will be made to support people within their role. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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knowledge with Master’s and PhD students. You will actively contribute your expertise to the acquisition of third-party funding and independently advance the "AAAging" project. The independent teaching of
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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phenotyping. We are seeking for an enthusiastic Post Doctoral Research Assistant (PDRA) with strong experience in bioinformatic analyses to join our team and lead the analyses of bulk and single cell ‘omic