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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
We welcome applications from candidates with a broad range of academic backgrounds and experiences for a 4-year PhD project on Mathematical and Machine Learning Aspects in Crystallography at Durham
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The Biological Chemistry section at the Department of Chemistry invites applicants for an externally funded, three-year PhD fellowship within structural enzymology and time-resolved crystallography
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expression and purification, X-ray crystallography, Surface Plasmon Resonance (SPR), and cellular immunology approaches in a world-class, exceptionally well-funded environment. The candidate will join a world
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machine learning methods for advanced and in situ materials characterisation. Modern characterisation techniques generate increasingly complex datasets describing microstructure, crystallography, phase
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considered favourably. Familiarity with analytical and characterisation techniques such as NMR and UV–Vis spectroscopy, mass spectrometry, X-ray crystallography, and chromatographic methods for purification
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crystallography, liquid and soft matter interface science, and anomalous small- and wide-angle scattering. The Research Assistant Professor will serve as a Beamline Scientist and will be expected to originate
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computer, virtual data storage, and access to software tools for specialized data analysis (e.g., Cryo-EM data, crystallography, etc.). Structural microbiology: Exopolysaccharide secretion and host
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with multiple labs in DHVI and beyond to apply insights from structural biology to vaccine design. We have state-of-the-art facilities that include tissue culture labs, FPLCs, X-ray crystallography
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an