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activities: · Understanding/simulating the diffusion paths and cavitation in thermoplastic liners. · Multi-physics simulation of the diffusion process in thermoplastic orthotropic composites
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: i) Develop computer vision systems in the context of agriculture; ii) Develop computational systems iii) Promote the dissemination and exploitation of the results generated in the project. 4
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, and vascularized composite allotransplantation (VCA). This position requires an experienced investigator with expertise in microsurgical techniques and the development of complex animal surgical models
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established chemistries where available and development of new processes when needed Characterization of the deposited films in terms of composition, crystallinity, morphology… using a range of spectroscopic
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diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional
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routine background checks. Essential Duties and Responsibilities The Postdoctoral Research Associate at UTARI will conduct applied research and development in one of the following technical areas: Composite
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will oversee core faculty affairs operations while using operational insight to improve processes, strengthen workforce planning and decision-making, and enhance effectiveness and faculty experience
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Modeling” division at ICE-3 aims to model and predict the composition of the atmosphere. The research focuses on multiphase processes, the role of tropospheric oxidants, and the role of pollutants in
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | 1 day ago-performance computing, and extreme-scale systems in the Department of Electrical and Computer Engineering. We are seeking scholars with demonstrated leadership in computing systems for modelling and simulation
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risk assessment. Interests include sensor-to-model translation, computer vision, scientific machine learning, surrogate and reduced-order models, inverse design, and interoperable digital twins