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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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dynamic, interdisciplinary team of scientists focused on early-stage drug discovery research and will work in collaboration with scientists at Indiana University’s Indianapolis campus and the Indiana
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environment. Research Area and Environment. The successful candidate will work directly with the CMAI faculty. Broadly, the group’s activities lie at the interface of optimization and nonsmooth/nonconvex
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: This project focuses on the development, optimization, and validation of functional antibody assays to evaluate immune responses to Bordetella pertussis. This will support ongoing efforts to better characterize
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mathematics, economics, operations research or a related field. Additional Qualifications Candidates who have a strong mathematical background in reinforcement learning and/or control (e.g., optimal control
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: Designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and orthosteric) and ion channels (α4β2 nAChR, α7nAChR, α9* nAChR, GIRK1/2, GIRK1/4, etc.) Conducting
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of structural optimization schemes for customized reinforcement configuration in reinforced concrete component. • Conduct mechanical testing on steel-concrete composite elements. • Collaborate with team
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 13 hours ago
tumours, allowing advanced immunotherapies to reach and treat cancer. The Faculty of Pharmaceutical Sciences strives to enact this vision by supporting the optimization of drug therapy in pursuit
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materials, the design and optimization of catalytic reactors, the study of reaction kinetics, and the detailed microstructural and physicochemical characterization of catalysts. The primary objective is to
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protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and