9 genetic-algorithm Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
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beginning in this role. We will require all candidates invited to interview to apply for NSTIx clearance. In this role you will: Design and test detection and estimation algorithms utilising artificial
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beginning in this role. We will require all candidates invited to interview to apply for NSTIx clearance. In this role you will: Design and test detection and estimation algorithms utilising artificial
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AI algorithm learning when subjected to cyber attacks in Edge Computing environments. At the Edge AI Hub, you will join an internationally renowned and multi-disciplinary team co-led at Southampton Dr
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
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identifying molecular mechanisms therein. We are looking for a highly motivated candidate with expertise in targeted genetic manipulation of barley plants. The successful applicant will work in a dynamic
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develop scalable advanced cell models for primary ciliary dyskinesia (PCD), including CRISPR-Cas 9 editing of a ciliated airway cell line. Characterisation of the models will confirm genetic, molecular and
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the function of the mammalian gut microbiome and its impact on human health using a range of molecular biology approaches, activity-based microbial physiology methods, cultivation and genetics. You will join our