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Field
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano
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involves the use of quantum chemistry, machine learning, and genetic algorithms to search for new homogeneous chemical catalysts. Who are we looking for? We are looking for candidates within the field
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algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime decarbonisation
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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: Employing satellite observation and machine leaning to improve model representation of ice sheet surface melt”. The candidate will work under the direction of Prof Nowicki and in collaboration with multiple
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pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
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Department: Physics Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
on developing mathematical models and control theory tools to support sustainable fisheries management. The project will optimize fishing practices to reduce ecological impacts, providing actionable insights
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Job Description The Institute of Mechanical and Electrical Engineering invites applications for a 24-month scholarship as a postdoctoral researcher in development of topology optimisation methods