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for fundamental optomechanics and practical gas sensing applications. The postdoctoral fellow is expected to contribute to the design, fabrication and optical/structural/mechanical characterization of “string
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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expected to attend group meetings and seminars, design and carry out laboratory experiments, interpret data, and write up results for publication. Qualifications Requires a Ph.D. in Chemistry or Biochemistry
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variables related to the weather conditions, road surface micro- and macro-texture, tire properties, driving speed, and behaviours of road users. This project aims at studying different data sources such as
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model/crop species with different levels of genome complexity. You will work very closely together with your dry-lab colleagues for data processing, training models, and the design of synthetic promoters
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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composite materials for transportation and energy transmission applications. Key responsibilities include the design, fabrication, and characterization of novel composites with enhanced mechanical, electrical
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assimilation and machine-learning techniques, (b) process understanding of the neighborhood risk of heat waves and fires associated with the change of weather pattern, and (c) novel algorithm development
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Position Summary The Lopez laboratory studies viruses and their interaction with their host. Our goal is to understand how the different components of a virus population affect the infected organism
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designing, synthesizing, and characterizing highly catalytic active MOF composites for sensing using fluorescence-based sensing. Required qualifications: The candidates must have strong experience in MOF