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to substantial in-house H200 GPU infrastructure, further capacity through the Norwich Data Centre and routes to national-scale AI compute such as Isambard-AI. Collaboration with the Earlham Biofoundry will provide
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of computer vision, pattern recognition, and image analysis: experience with biomedical imaging modalities is a strong asset Hands-on experience deploying and managing workloads in GPU-enabled High-Performance
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in a university, research or comparable enterprise environment. Deep expertise in Linux and HPC architecture, including heterogeneous CPU/GPU compute, workload scheduling, high-speed interconnects
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Position Details Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods Department Quantitative Biomedicine Inst
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Job Purpose Based within the University of Glasgow’s Centre for Data Science and Artificial Intelligence (AI), and working closely with Research Computing as a Service (RCaaS) teams, make a leading
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated
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graduate program and maintain the minimum number of credits (6 credits per semester) in order to hold a student position at the University of Minnesota and have expertise in the material covered by
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PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Bachelor’s Degree in Computer Science, Engineering or relevant
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practices and international standards.Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD
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22 Aug 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Economics » Administrative sciences Economics » Marketing Researcher Profile First Stage