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Field
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research-focused HPC environment. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in Europe
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of CPU and GPU resources to maximize model performance, scalability, and portability. A particular focus of the position will be a dedicated project to prepare, optimize, and benchmark the code
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/SCI Clearance Master’s degree Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data Statistics, multivariable calculus, and linear
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innovative software solutions to climate modeling problems that represent the state-of-the-art in high-performance computing and are performant on GPUs. Contribute to the design, performance specification, and
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Computing undergraduate programme. Imperial College London seeks several outstanding academics to join its Department of Mathematics within the Faculty of Natural Sciences. These appointments form part of
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consequence, we only expect to hire pure mathematicians that can demonstrate a strong alignment to our growing Joint Mathematics and Computing undergraduate programme. Imperial College London seeks several
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Knowledge, Skills, and Abilities This is a high-level software development position that requires proficiency in object-oriented programming (particularly python and C++, and GPU programming, e.g., cuda) and
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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information
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Institute, based in Norwich, UK. Background: The AI for Biology Group will be newly established at the Earlham Institute (EI), building on Professor Ke Li's established and well-funded research programme in
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Full time, fixed term until 31st January 2028 Opportunity to lead and shape a flagship, university-wide AI and GPU compute capability supporting cutting-edge research Base Salary $162,528 + 17