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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
(https://www.ofi.ca/programs/transform-climate-action) is currently underway. This project aims to develop a framework and models for a Digital Twin for Ocean Industries, for optimal deployment to support
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easier by integrating different sensing modalities. However, redeployment of a finite number of heterogeneous sensors comes with opportunity costs. We will explore optimal sensor deployment and dynamic
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engine optimization techniques Ability to facilitate training and coaching WORKING CONDITIONS Sitting at desk and computer for long periods of time General office conditions The salary for the above
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and opportunity to achieve optimal health, regardless of social, economic, environmental, and socially constructed barriers. It seeks to eliminate unfair and avoidable differences in health determinants
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desired (but not required): Automation Robotics and automation Machine learning to accelerate the discovery of molecules and materials Experimental planning and design/optimization Programming and high
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materials Experimental planning and design/optimization Programming and high-performance computing Additional expertise that is desired (but not required): Automation Developing polymer blends or composites
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planning and design/optimization Programming and high-performance computing Additional expertise that is desired (but not required): Automation Developing polymer blends or composites for 3D printing
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academic and professional community. This research program will build upon the Department’s existing strengths in visual and human-centered computing, artificial intelligence, machine learning, optimization
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environment Show personal interest in the learner and create a climate conducive to optimal learning Provide on-going support, guidance and advice to students Review course content and links in the D2L shell
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; Publish journal papers; Work on other duties as assigned. Qualifications Candidates are expected to have a PhD in power systems with expertise in power systems analysis and optimization, artificial