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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 15 hours 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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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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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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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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many-body physics, spin dynamics, quantum simulation, quantum optimal control, quantum optics, atomic physics. Required Skills: PhD in a field of research related to experimental quantum physics Broad
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repertoires within the thymic niche. Identify molecular and signaling targets to guide the engineering of functional thymic environments and optimize T-cell output from pluripotent stem cell-derived progenitors
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the thymic niche. Identify molecular and signaling targets to guide the engineering of functional thymic environments and optimize T-cell output from pluripotent stem cell-derived progenitors. Automate
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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