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Field
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grant sponsored by the UK’s Engineering and Physical Sciences Research Council to develop a theory for novel bio-inspired micromachine sensors to measure acoustical quantities that have not been measured
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questions in quantum information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Design of superconducting electronic devices with emphasis on superconducting quantum
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of projects. Job Description: The successful applicant will be responsible for Performing literature review and background study on collaborative AI Develop algorithms and system designs that can optimize
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candidates may be asked to teach: Introductory programming classes Core undergraduate CS classes such as: Human Computer Interaction, Database Applications, Algorithms and Data Structures, Software engineering
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, infrastructures; algorithmic bias and fairness; artificial intelligence (AI) policy broadly or within specific professional sectors (e.g., health information systems; knowledge management systems; information
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learning including reinforcement learning, nature inspired algorithms, deep learning, agent based modeling, and natural language processing. We are specifically interested in research focused
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, portion estimation algorithms, and the integration of large language models for the PlantVillage Food app. Manage partnerships and coordinate activities with key stakeholders including, but not limited
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to accelerate evaluation of costly simulations Genetic algorithms and other evolutionary techniques to generate a diverse set of high-performing solutions. You will design and implement new optimization
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for long-term production projects including large arrays of full-recticle and wafer-size semiconductor sensors, as well as one-off R&D pieces and small commercial activities requiring a rapid turnaround
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in