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specialist knowledge in mechatronics design and control, and proven programming experience in Python, MATLAB or C/C++. Informal enquiries may be addressed to Professor Liang He (email: liang.he@eng.ox.ac.uk
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organisational skills that might include, sample management, electronic lab books, working with collaborators. Ability to work supportively in a laboratory environment, and to supervise and educate junior co
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machine learning, computer vision, human-computer interaction, or similar relevant areas. Experience in research or development on bias, interpretability, and/or privacy in machine learning/AI is necessary
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: - solid-state NMR - electron microscopy - lab-based and synchrotron-based x-ray techniques • solid-state electrochemistry, in particular
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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biochemical reconstitution, electron cryomicroscopy (cryo-EM), advanced bacterial genetics, and phage biology to explore how cells and viruses control the three-dimensional structure of DNA. We investigate how
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migration, nanoscale assembly, or complex charge-screening processes are still poorly understood despite their critical impact on electronic properties and device performance. The project will provide a
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methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk). Only online applications received before
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instrumentation often located at synchrotron facilities. We have recently developed operando cells which can perform XPS measurements at > 1 bar pressure by using graphene membranes as X-ray and electron
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fluorescence microscopy, CRISPR/Cas9 and cryo electron microscopy. You will join our enthusiastic lab in the Department of Biochemistry. We aim to upskill all our members and work together to answer important