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. Expert knowledge of data modeling, statistical analysis, machine learning, and optimization techniques. Expert in leading and executing complex, high-impact data analytics projects and initiatives
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member of a team. Have good knowledge of public transit system or willingness to learn and teach. Be able to use computer to record services or be willing to learn. Preferred Qualifications Peer training
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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research, optimization, and decision analytics. • Supply chain engineering and logistics systems. • Human factors and ergonomics. • Data analytics, artificial intelligence and machine learning
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Language Models (MLLMs) and their agentic implementations. Develop and benchmark novel adversarial attacks and defense strategies, focusing on the intersection of computer vision, natural language processing
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qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and evaluate machine learning models, including unimodal, fusion, and
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(AWS, Azure, or Google Cloud) Experience with Machine Vision Experience with fine-tuning foundation models Experience with writing and maintaining APIs Modes of Work This position is classified as having
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, scikit-learn). Expert-level knowledge of data warehousing, database technologies (SQL/NoSQL), and data modeling for machine learning. Strong understanding of containerization and orchestration technologies
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) signal processing, machine/deep-learning and computational linguistics. The team mobilizes them to produce methodologically sound research in response to some of the challenges posed by the nature and
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova