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consultation with Manager and Team Leads, Desktop Services, determines enhancements for UBC computer hardware and software. - Provides consultation and assistance to UBC IT supported users. - Keeps abreast with
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the context of university recreation. Computer experience and working knowledge and skill with Microsoft Office is required. Previous experience with Workday and XplorRecreation software is an asset. Must be
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equipment. Demonstrated knowledge of Hospital and Radiology Information Systems. Demonstrated knowledge of PACS i.e. digital imaging, image archiving and retrieval. Demonstrated computer skills including
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resource requirements. Evaluates complex departmental requirements and large volumes of data in a highly sensitive and confidential environment. Maintains a working knowledge of computer software used
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instrumentation. Maintains current knowledge of new developments, processes and technology related to material, electronic and computer engineering. Conducts research on recent developments in area of
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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 1 day ago
health sciences, interdisciplinary teams involved in the CFREF-funded Brain-Heart Interconnectome program utilize machine learning to investigate complex biological systems. This initiative aims
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of related experience including at least five years of managerial experience plus four years of specialized experience in the design and implementation of major computer systems, or the equivalent combination
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. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health, bio-signal processing, and wearable
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for innovation. The successful candidate will work with a variety of AI and machine learning frameworks, including open-source libraries (e.g., Hugging Face, LangChain, spaCy), cloud AI platforms (e.g., AWS
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PyTorch, TensorFlow, and Scikit-learn. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health