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machine learning. This particular thematic area will be supervised by Associate Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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field. Experience in the following is essential: single-cell fluorescence microscopy, microfluidics, image analysis, and machine learning (as applied to biological imaging). Python and MATLAB programming
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have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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conceive, plan and independently execute appropriate activities to deadlines. It will be important to communicate effectively, both orally and in writing. Ability to find information, analyse complex data
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, you will be an enthusiastic and self-driven researcher able to plan and deliver high-quality scientific work. You will hold (or be close to obtaining) a PhD/DPhil in a relevant discipline and have
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into practical methods for smarter testing and control. You’ll need to have expertise in modelling and simulation of dynamic systems, strong programming skills, and the ability to communicate your research clearly
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mathematical skills, a strong understanding of mechanics and an ability to undertake scientific programming. You will have excellent written and oral communication skills, and an ability to work both
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/test articles), intrusive probes, and optical diagnostics. You’ll plan and run test campaigns, analyse data to advance understanding of material–flow interaction, and disseminate results in seminars