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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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abilities, with a demonstrated capacity to interpret complex information and provide clear, pragmatic advice. The role requires sound judgment, tact, and discretion in handling sensitive matters, as well as a
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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of healthy aging using cutting-edge single-cell and AI-based tools, as well as population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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’ programme grant. Find out more about the research and group at: [https://vallance.web.ox.ac.uk/. ](https://vallance.web.ox.ac.uk/. ) About you Applicants must hold a PhD in PhysicalChemistry or a related