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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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treatment response. The role involves building robust and reproducible computational pipelines, interpreting complex biological data, collaborating across the CRC-STARS consortium, and contributing
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team working skills. Informal enquiries may be addressed to Prof Ioannis Havoutis (email: [email protected] For more information about working at the Department, see www.eng.ox.ac.uk/about
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assessors, and contributing to the design of behavioural and developmental assessments for future follow-up. You will also have opportunities to analyse C-GULL data, contribute to publications and develop new
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laboratory skills involving vacuum physics, laser physics, quantum optics tools, lab software and data acquisition, cluster physics and mass spectrometry. Knowledge: experimental experience with macroscopic
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The job details are shown below. For further information click on the link for the job description. Help uncover how plastic pollution may be fuelling the global liver disease epidemic and join a
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. FRAME’s will be validated on real-world use cases (robotics, healthcare and software development frameworks). The research associate will be affiliated with the Data Science & Intelligent Systems based in
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, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate will conduct experiments at the Queen Mary
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and Severe Mental Illness group in the Department of Psychiatry, University of Oxford, to analyse clinical, biomarker and neuroimaging data from major MRC and NIHR funded studies of psychosis. What We
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nitrogen-containing products and assess system performance. You will contribute to the design and testing of the prototype system, analyse experimental and simulation data, and publish the resulting research