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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 4 days ago
a deep understanding of state-of-the-art numerical solution methods, including finite elements, finite differences, geometric multigrid methods, and their parallelisation architectures and challenges
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: Extensive experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and
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the emergent properties of the twisted membranes. Analyzing and interpreting the results obtained from the microscope. Formal qualifications PhD In Physics, Materials Science, Chemistry, Electrical Engineering
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. Qualifications requirements The applicant is required to have a PhD degree in Computer Science, Software Engineering, or related fields. The applicant must have completed the degree no more than three years before
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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns