572 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" Fellowship positions in United Kingdom
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rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine
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HPC or cloud environments. Strong quantitative problem-solving and communication skills are also essential. We welcome applications from all interested candidates and particularly encourage those who
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maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D
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programme grant “Total Body Nuclear Imaging for the Development of Nanotheranostics”. This Programme involves 15 co-investigators in a range of disciplines related to PET imaging strategies
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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development opportunities Provide a platform from which fellows may apply for external funding, such as clinician scientist fellowships, to be held at the Crick or elsewhere. The Programme: Fellows at the Crick
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biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer