328 cloud-computing-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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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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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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(R3) Country United Kingdom Application Deadline 16 Oct 2025 - 00:00 (UTC) 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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We are seeking a highly motivated Research Fellow to join the School of Electronics and Computer Science (ECS) at University of Southampton for a two-year position in the area of Personalised
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programme of the Heilbronn Institute, thus enjoying opportunities to engage in collaborative work as well as individual projects. Research areas of interest include, but are not restricted to, Algebra
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the ability to translate between clinical and technical language while working with radiology informatics teams. A solid understanding of DICOM standards, PACS and RIS environments, GDPR, and image transfer
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you
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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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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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) and reproducible research practices Desirable criteria Experience working with generative models or large language models Experience with large scale GPU-based model training and cloud computing