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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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management. Provide guidance and mentorship to undergraduate / medical students and research assistants. Maintain optimal experiment progress in the research work undertaken. Perform other related duties
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technologies. Key Responsibilities: Design and manufacture bio-inspired soft gripper system with optimal structure. Design and develop tactile sensing mechanism on the developed robotic systems. Create embodied
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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compatibility analysis of materials for different components Mechanical characteristics evaluation and optimization Support mechanical and chemistry relevant qualification and failures analysis Drive specific
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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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application like drug delivery. Key Responsibilities: The Research Fellow will work on a cross-disciplinary project at the intersection of mechanics, acoustics, design optimization, and advanced manufacturing
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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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the flexibility of DCS will be investigated. Multi-objective optimization, focusing on techno-economic optimization under varying levels of renewable energy penetration will be employed. To assess the impact of
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent