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for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
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Details Additional Information Posting Category Operations Working Title Automation Systems Programmer I Job Title Facilities Specialist (Prof) Salary Grade FP23S Appointment Type B1 - REG MGR PROF SALARY
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at assistant, associate, or full professor levels) in the area of: · Information policy We seek a candidate who critically engages scholarly study, analysis and/or development of information policy theories
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potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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) and common data formats (e.g. RVT and DWG). Preference will be given to those with experience in computer graphics, 3D geometric algorithms or WebGL development. Applicants are invited to contact Prof
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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Job Purpose Working with Prof. Surajit Ray, you will contribute to several projects involving the development of statistical models and deep learning framework for multimodal and dynamic medical
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. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs
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University, Polytechnique Montreal, University of Calgary, UBC and The University of Victoria). There are 21 Canadian and international companies in the consortium. CANRIMT 3 is led by Prof. K. Erkorkmaz