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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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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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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data science, industrial ecology, geography
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social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics, Inequality, and Opportunity. About you You have completed a doctorate in
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research programme on “Enabling consumers to make healthy financial choices”, focusing on how technological and organisational solutions can improve financial literacy and decision-making. This post, under
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’ programme grant. Find out more about the research and group at: About you Applicants must hold a PhD in Physical Chemistry or a related area, (or be close to completion) prior to taking up the appointment
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surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant
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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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, and familiarity with the existing literature and research in the field. Possess sufficient specialist knowledge to develop research projects and methodologies and the ability to independently plan and