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probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal design, computer experiments, sequential analysis, shape-constrained inference, time
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genomic approach to profile enhancer dependencies. Develop and optimize experimental workflows integrating scRNA-seq, scATAC-seq, and other single-cell omics. Interpret high-dimensional data in
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
optimization and coordination algorithms for BC Hydro–cVPP interaction and evaluate grid performance through simulated case studies, and analyze service offerings and pricing via case studies and apply social
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addresses major limitations in surgical force sensing and has strong potential for commercialization and clinical impact. Key Responsibilities Redesign and optimize a fiber-optic (FBG-based) force sensor
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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. David Granville, the incumbent will be responsible for: Designing and implementing research plans and approaches, including in vitro studies, in vivo models, formulation optimization Facilitating other
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; Publish journal papers; Work on other duties as assigned. Qualifications Candidates are expected to have a PhD in power systems with expertise in power systems analysis and optimization, artificial
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partners. In these research projects we studied new diagnostic tests, therapies, service models, and technologies to optimize the physical and mental health of Canadian children born with brain-based