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Field
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Status Part-time Hours Per Week 20 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number SI4/PJI/2024-00062 Is the Job
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, or other highly regulated computing environments. HPC, AI/ML infrastructure, GPU computing, containers, Kubernetes, or advanced computing platforms. Infrastructure-as-code, advanced automation, CI/CD
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing for lattice
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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. This position will work within Research Computing to architect advanced computing, GPU-enabled environments and serve as a specialized partner to researchers to develop AI/ML research workflows within UAB
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science, conversational AI, and marketing analytics and on substantial investments in on-premises GPU infrastructure that allows us to work with confidential partner data under full data control. The focus
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AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI. AISG is supported through a
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RCaaS group by playing a leading role in aspects of project management. 11. Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, World
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programming languages. Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image
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About the role Join the CEREBRIS project, a flagship European Innovation Council (EIC) Pathfinder programme developing next-generation AI and neurotechnology to transform stroke diagnosis, prognosis