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Field
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sustainable manner. Key Responsibilities: Develop advanced experimental apparatus to investigate coupled multiphysics processes in porous materials (e.g., clay). Develop constitutive models and numerical tools
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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using single electron redox processes. Key Responsibilities: Daily experiments and analysis of the collected data To supervise junior graduate students and undergraduate researchers To submit weekly
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deepen the understanding of the microstructure-property-process relationship. Contributes to ongoing projects rather than focusing on a singular research area, student advising, and proposal writing
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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-qualification experience at the time of application. For both posts, applicants should also have: (a) strong research background in speech deepfake detection, spoken language processing and/or speech
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Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing geophysical/geomechanical
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and bonded interfaces on soft, deformable substrates, with emphasis on printable conductive materials, low-temperature and photonic sintering/bonding processes, interfacial reaction and diffusion
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molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling Strong written and oral communication skills
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required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process