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experimental workflows, data-driven experimental design, hypothesis generation or process modeling, deep learning for spectroscopic data or image processing, and applications of physics-informed machine
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and
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Toronto Metropolitan University - Department of Physics | Central Toronto (Roselawn), Ontario | Canada | about 7 hours ago
$154,154.94 per annum respectively. Closing date 14 Dec 2026 Website https://hr.cf.torontomu.ca/ams/faculty/preview.cfm?posting_id=560232 View more categories View less categories Discipline Physics Job Type