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Field
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the entire northern sky every day and processes over 6.4Tb/s of sky data 24/7 on a large on-site GPU cluster. CHIME is a multi-institutional collaboration with 100+ members. The Scientific Software Engineer
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for that project (e.g., version control, continuous integration and continuous delivery, software design, programming model, etc.). Conduct Annual Performance Reviews for direct report RSE staff. Supervise
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equivalent combination of education and work experience). EXPERIENCE: 2+ years of experience in GPU computing, with a focus on performance optimization and parallel programming. Proficiency in GPU programming
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to diverse audiences Proficiency in an object-oriented programming language Proficiency with Git version control Experience with full stack web development frameworks (Rails, Django, MERN, etc.) Experience
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Empire Innovation Professor (Associate Professor) Artificial Intelligence in Biomolecular and Drug D
to leverage AI for scientific discovery, addressing critical societal challenges in biotechnology, clean energy, and emerging technologies. Responsibilities include: Leading a well-funded research program in AI
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://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t13-b.pdf Review timeline: Open until filled Application Window Open date: June 27, 2025 Next review date: Monday, Jul 28
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at Imperial College led by Dr Edward Johns, as well as a larger team across the UK as part of the ARIA-funded Robot Dexterity programme (see: https://www.aria.org.uk/opportunity-spaces/smarter-robot
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Dr Edward Johns, as well as a larger team across the UK as part of the ARIA-funded Robot Dexterity programme (see: https://www.aria.org.uk/opportunity-spaces/smarter-robot-bodies/robot-dexterity
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theoretical physics, whose responsibilities relate to distributed systems and the GPU optimization of AI algorithms. We expect the team to grow in size considerably over the next few years, and are looking
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techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as