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Field
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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient
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to well-known open-source projects or a personal portfolio of impactful open-source research code. Experience with large-scale distributed training and high-performance computing (HPC) environments.
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to operate confidently in both global and local settings. In parallel, the role supports international student recruitment and student body diversification by working with upstream stakeholders—such as
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learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs, to work at the Institute for Artificial Intelligence and Data Science (IAD). As a Senior Research
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, hybrid cloud computing, and parallel programming with GPUs. As a Junior Research Engineer, you should have some basic understanding and experience in the development of scalable AI systems and deployment
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frameworks, such as deep learning, parallel and distributed computing, AI-based spatial data storage and transfer technologies, and cloud-native geospatial solutions for feature extraction, real-time
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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information in the laboratory information system, and scanning necessary paperwork into the laboratory information system. Distribute the referred specimens to the appropriate pathologist. 25% Coordinate
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Position Details Position Information Recruitment/Posting Title System Admin III Job Category Staff & Executive - Information Technology Department Office of Advanced Research Computing Overview
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an equal-variance signal detection model to a more flexible unequal-variance model in a hierarchical Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling