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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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of the PhD will be open for the student to refine. We anticipate a mix of field data collection, laboratory and Sphagnum growth experiments, alongside a strong modelling component. The work will focus
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wall elements of aerostructures are essentially made from high-strength foils in Titanium or Nickel alloys for reducing weight and improving engine fuel consumption. Limited studies exist on hot forming
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of thousands of potential materials. A key component of the project is the creation of a high-quality defect database for functional mixed-anion semiconductors, which will be used to train the machine learning
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-element complex EPR spectroscopy in a collaborative project between three research groups at Manchester Chemistry. There is much current interest in characterising the nature of metal-ligand bonds in f
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for meeting strength and noise certification requirements in the aerospace industry. Certain thin wall elements of aerostructures are essentially made from high-strength foils in Titanium or Nickel alloys
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expect the stipend to increase each year. The overarching goal of this project is to discover new Metal-Organic Frameworks (MOFs) that excel in hydrogen energy-related applications. The UK government
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We seek a Postdoctoral Research Assistant / Associate (PDRA) to join a multidisciplinary project "Building Shells: Towards a Mechanistic Understanding of Biomineralisation" funded by the Leverhulme
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Solubility, and dissolution dynamics, are key physico-chemical properties of active ingredient solid forms and are required across the chemical industry, however their determination remains a