278 postdoc-in-postdoc-in-automation-and-control-"Multiple" Postdoctoral positions in United Kingdom
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administrative activities under supervision from senior researchers. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. Responsibilities will include
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-ordinate multiple aspects of work to meet deadlines. Responsibilities will include the application of health economics methods to patient-level data as well as acting as a source of information and advice
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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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with biologists. You will report to the engineering lead on the project About the role The project will aim to develop fluid walls and associated automation workflows to enable microscale cell-based
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application We prefer to receive applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please
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own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department
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close to completion of a relevant PhD. You will manage your own academic research, effectively coordinating multiple strands of work. Direct experience in molecular genetics and/or plant-microbe interactions
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multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, OX1 3TA and is available from October 2025. Application
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interdisciplinary research including experimental field trials, social research, and ecological monitoring across multiple sites. The post-holder will lead the project’s ecological research components and contribute
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Role Description Department We are seeking an experienced mathematical modeller. Our group is developing a range of advanced genetics-based methods for controlling mosquito-borne diseases, based