28 web-development-"https:"-"https:"-"https:" Postdoctoral positions at University of London
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About the Role You will drive the development of optical instrumentation that will accelerate the way printed perovskite photovoltaics are analysed and developed. You will design, build, and
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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Research Assistant or Postdoctoral Research Associate About the Role This position will undertake research to realise the objectives and development of the InnovateUK-funded project into “AI-Powered
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Doctoral Research Associate into the EPSRC programme grant “Total Body Nuclear Imaging for the Development of Nanotheranostics”. This Programme involves 15 co-investigators across 3 universities (Kings
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About the Role The post-holder will investigate the role of the extracellular matrix (ECM) during the evolution of drug resistance in ovarian cancer. The ovarian cancer tumour microenvironment (TME
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understanding of polymer behaviour. You will use and develop molecular simulation tools to study curing reactions, network formation, and structure–property relationships in industrially relevant epoxy‑amine
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for advanced polymer systems. This position sits within a vibrant, collaborative research environment where you’ll have the opportunity to develop your own ideas, drive new experimental approaches, and
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About the Role You will contribute to the construction and quality control of the ATLAS Inner Tracker (ITk). The ITk group at Queen Mary University of London has played a key role in the development
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on the development, validation and use of organ-chip models. We are particularly focused on the development and use of joint-on-a-chip models including synovium, bone, cartilage, fat along with inflammatory components
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will develop the mathematical/computational tool-box to describe the evolution of ecDNA and test predictions of these theories in existing and newly generated cancer genomic data. The position will be