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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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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 the application process
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Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer
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of climate action and disease control increasingly shape urban policy and infrastructure, how are cities adapting, transforming, failing, and thriving? We welcome interdisciplinary work to help us address
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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part of a team. Be proficient in version control using Github. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and
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of Relevant scientific publications or relevant experience Solid technical background and experiences in communication network protocols Extensive knowledge on network management and control Previous
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will have a PhD or equivalent experience in statistics, medical statistics, or a related mathematical field Knowledge and experience of randomised controlled trials, including adaptive trial design and
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manuscripts Experience in preparing research findings for publication or presentation at conferences Excellent command of spoken and written English Excellent knowledge of at least Classical and modern Armenian
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may include NeoSep1: a global randomised controlled trial comparing novel combination and existing antibiotic regimens for the empiric treatment of clinically diagnosed neonatal sepsis; NeoSep LTFU1: a