137 postdoc-in-postdoc-in-automation-and-control Fellowship positions in United Kingdom
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quality control protocols. Beyond identifying a scientifically optimum observational network, you will contribute to shaping an observational strategy that is not only scientifically robust and resilient
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: Applications should be made on-line by clicking the 'Apply' button, above. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application
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in London at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding
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based in London at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding
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based in London at LSHTM. Applications should be made on-line by clicking the 'Apply' button, above. Online applications will be accepted by the automated system until 10pm of the closing date. Any
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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-NCDE-2025-06. The supporting
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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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that the project objectives and deadlines are met. You will be expected to keep diligent records and computer code. This post is based at the University of Warwick (in The Control and Engineering Biology group
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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically