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Field
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation. Research experience with power system operation and optimization. Excellent
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committed to eliminating barriers created by institutional discrimination through accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our
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addresses major limitations in surgical force sensing and has strong potential for commercialization and clinical impact. Key Responsibilities Redesign and optimize a fiber-optic (FBG-based) force sensor
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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the following tasks: Development of new large language models for process modeling Development of new decision-making algorithms Provide regular project updates to principal investigator and funding agency Report
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing
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fermentation, bioreactor optimization, and downstream processing. Have a Ph.D. degree in Food Science and Technology or Chemical Engineering, or other relevant disciplines. Share this job Facebook Twitter
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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