31 computer-engineer-"https:" "https:" "https:" "https:" "https:" "TU Delft" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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: Architect event-triggered compute stacks using industry-standard orchestration tools (e.g. Kubernetes and container workflows), and to engineer loading strategies for managing highly-irregular flows of data
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be held in the School of Electronics and Computer Science (ECS) (http://ecs.soton.ac.uk ) in collaboration with the Optoelectronics Research Centre (http://orc.soton.ac.uk ). Electronics and Computer
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We are looking to appoint a skilled postdoctoral researcher with experience and expertise in computational inorganic chemistry, to be based in the School of Chemistry and Chemical Engineering at
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team members. The post will be held in the School of Electronics and Computer Science (ECS) (http://ecs.soton.ac.uk ). Ranked in the top 1% of universities globally and among the UK's top 20 for research
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Chemical Engineering at the University of Southampton. The project will provide advanced training in synthetic organic chemistry and structural characterisation, with opportunities to interact with
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successful you will have: A PhD (or equivalent professional experience) in a discipline relevant to responsible AI, including computer science, AI, data science, science and technology studies, law, public
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Dr Jonathan West is an Associate Professor in Biomedical Microfluidics whose research is focused on clinical translation and technology commercialisation to benefit patient care. Jonathan has
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(R3) Application Deadline 11 Aug 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, Ontological and Methodological Foundations (https://poppieproject.com/ ). The project aims to develop new ways of understanding how citizens and other political actors think their political institutions should
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The Role: We are seeking an outstanding computational biologist to join the BioFAIR Pathfinder project to develop computational framework for gene regulatory network (GRN) inference methods in