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applications submitted online and received before noon Wednesday 17th December 2025 can be considered. Please note that you will receive an automated email from our online recruitment portal to confirm receipt
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conditions and the performance limitations and develop real-time process control strategies, in collaboration with other project partners. You must demonstrate a sound understanding of anaerobic digestion and
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expertise in areas including handcrafting, sewing, pattern drafting, and quality control. The fellowship will be delivered by expert artisans and tutors at The King’s Foundation, with mentorship and guidance
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. The successful candidate will contribute to a Gates Foundation funded project focused on developing and applying advanced spatial and spatio-temporal statistical methods to inform disease mapping and control
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Highly Automated/Autonomous Driving Systems, also known as Autonomous Vehicles, as well as other relevant research activities within our research group, Connected and Cooperative Autonomous Systems
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performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. The post-holder will have the ability to engage with world-leading experts across AI and
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well as the development and implementation of solutions at CMM for scale up and automation of screening. Secondly, to develop a panel of new secondary phenotypic screening assays, to improve our understanding
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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-EPED-2025-16. The supporting statement section
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 months ago
accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to job s@lshtm.ac.uk . Please quote reference EPH-EPED-2025-16. The supporting
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AstraZeneca. It aims to transform antibody manufacturing using AI, automation, digital twins and advanced analytics to improve production of therapies for cancer, obesity and autoimmune conditions. Delivered