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: Investigating novel optical materials and technologies Developing and optimizing optical system designs using simulation tools Characterizing and testing optical system performance Collaborate with cross
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the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
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a Research Assistant to undertake advanced research at the intersection of resilience and operations research. This position focuses on applying methodologies from decision optimization, big data
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engineering strategies to enhance production yields of target chemicals. Conduct lab-scale fermentation, analytics, and process optimization. Publish research findings in high-impact journals and present
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with the team. Lead sensor deployment experiments in controlled and semi-controlled aquaculture environments; optimize and calibrate and validate sensor streams for real-time analytics. Prototype and test AI
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uses. To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization. To formulate a comprehensive visual feature codec for machine uses
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to the research agenda of the project ‘Geometric Optimization and Design in Learning and Robotics'. Key Responsibilities
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of mechanics, acoustics, design optimization, and advanced manufacturing. The key responsibilities of this position include: Perform numerical simulation to solve structure-acoustic problems Perform design
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed