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Field
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of the structures, and reinforcement learning methods for optimizing the structures for particular applications. An underlying motivation is to understand the internal representations developed by the machine
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an early-stage project from initiation to analysis to a fielded system in a short period of time. The knowledge gained will provide you a highly desired skill set in the area of clinical systems
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, optimizing, and advancing the understanding of chemical and acute non-kinetic threats, as well as medical countermeasures for safe and effective prophylaxis or treatment against these diverse challenges
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. Familiarity with green building technology, HVAC system study and optimization, sustainable building design, building energy modelling, CFD modelling, BIM and embodied carbon/lifecycle assessment for built
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oral and written English. Emphasis is also placed on your: practical skills in the laboratory (organic synthesis, hydrothermal/solvothermal synthesis) user knowledge with instruments such as XRD, NMR, IR
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congress and information booths · Contributing to the execution of omnichannel and digital strategy within Medical Affairs to ensure optimal orchestration of scientific information to key stakeholders
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practical clinical knowledge to enable efficient and effective drug development. Clinical Scientists contribute throughout the development cycle from Phase 1 to IND submission. They are data-driven
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such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree
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one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given
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medical device research project in collaboration with Li Ka-Shing Knowledge Institute (St. Michael’s Hospital) and Institute for Biomedical Engineering, Science, and Technology. This initiative is supported