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trustworthy software and systems, spanning foundations, programming languages, tools and practical methods that help shape dependable digital infrastructures. This project is a collaboration between the
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normalising flows) C4 Use of GPU programming and automatic differentiation (e.g. Tensorflow, Jax, Pytorch) C5 Ability to communicate material of a specialist or highly technical nature and to be
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Vision lab within the School of Computer Science at the University of Sheffield, the post offers access to high-performance computing and GPU facilities. Applicants should hold a PhD in computer science or
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programming skills, with proficiency in Python required. Knowledge in other languages (e.g. C, C++, R, Java, and/or Rust) is encouraged. • Experience in working with scientific computing ecosystems and/or
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to start imminently, and before mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news
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. Our research facilities include modern GPU computing resources, shared data and annotation infrastructure and access to relevant text corpora. Principal supervisor: Associate Professor Desmond Elliott
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emerging from research teams and elsewhere. A3. Breadth and/or depth of knowledge of programming languages (including Python, R, C++, Java, Julia, C), frameworks, platforms and tools, high performance
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the investigation of colloids and interfaces in food science and pharmacy ( https://pharmacy.ku.dk/research/caiff/ ). Expected start date is 1 January 2027 or as soon as possible thereafter. The
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-based servers, GPU and accelerator resources, cloud-based services, virtualized infrastructure, storage systems, and container platforms. Gain experience in installing, maintaining, and upgrading
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scientific software deployment, including MPI, GPU/accelerator technologies, Apptainer/Singularity containers, Conda environments, and research-oriented code libraries Advanced analytical skills to diagnose