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scientific advice of the highest quality within building design and processes, building construction and safety, building energy and installation, solid mechanics, fluid mechanics, materials technology
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Job Category CUPE 116 Job Title CUPE 116 Research Assistant Tech 2 Department Taghipour, Fariborz | Department of Chemical and Biological Engineering | Faculty of Applied Science Posting End Date
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of Chemical and Biological Engineering | Faculty of Applied Science Compensation Range $4,426.00 - $4,845.00 CAD Monthly Posting End Date May 30, 2025 Note: Applications will be accepted until 11:59 PM
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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electrical/mechanical engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype
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systems able to make extremely high time frequency images of roots in situ in the field (https://doi.org/10.1093/jxb/erac427). The entire, multi-person project will interpret the dynamics of root properties
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype development would be
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on AI-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g