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Group and the Toronto Intelligent Systems Laboratory. These two research labs conduct cutting-edge research in computational imaging, computer vision, robotics, and machine learning. Their work spans
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motivated Neuroscience postdoctoral fellow. In addition to neuroscience research experience, having familiar with machine learning/AI/ big data processing will be an asset. A major part of this PDF
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review related to histopathology image analysis and the application of machine learning in this field, creates reports based on the review, and present them to senior staff. Contributing to prototyping and
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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 SageMaker, Amazon Bedrock, OpenAI, Azure
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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. Candidates should have excellent programming, communication, and organizational skills. Ideally, candidates should have previous knowledge of image processing, statistics, and machine learning/AI, and
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 days ago
Health and the IWK Health Centre in Halifax. The successful candidate will have an opportunity to be part of the Big Data Analytics, AI & Machine Learning research cluster in Computer Science, and the
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 12 hours ago
metabolomics] research, with experience in the use of techniques in machine learning, statistics, algorithm engineering, bioinformatics, or advanced data visualization. Evidence of effective participation and
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Data Processor, and our legal basis for processing your personal data is ‘Legitimate Interests’. You have the right to object to us processing your data in this way. For more information about this, your rights
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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning