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and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
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creating plants with various designer traits. In the last several years, we mainly worked on engineering bioluminescence in plants (https://light.bio/ ), and understanding structure-function relationship in
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printing) and computer-assisted load analysis Expertise in the numerical simulation of realistic loading scenarios of the musculoskeletal system Your Profile: The future position holder has an academic
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information about the Department of Chemistry can be found at: https://chem.westlake.edu.cn/en About this search This search is open to candidates in all broadly defined areas of Chemistry (organic, inorganic
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flagship research programme that defines the future of metabolic medicine, leveraging Singapore's unique position as a global biomedical hub. As a senior faculty member reporting to the Dean and Vice-Dean
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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profile and shows how the proposed research will strengthen, enhance, and/or complement research within at least one specified research programme at the department. teaching expertise, according particular
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Assistant Professor rank, candidates must demonstrate strong potential to build a nationally recognized, externally supported research program. For positions designated at the Associate Professor rank
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their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As part of LIST’s SUSTAIN unit (Environmental Sustainability
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning