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Description: Apply Position Description Main Responsibilities 1. Conduct Drug discovery and high throughput genomic imaging study. 2. Stablish high throughput (HTS) techniques, including automated seeding
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on a tripartite technical system of "Equipment Automation – Operation & Maintenance Intelligence – System Autonomy," aiming to drive profound transformation in industrial manufacturing by breaking
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talent introduction policies and the postdoctoral exit requirements may apply for faculty positions. Application Process: 1. Applicants should submit their application materials via email, including: (1
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algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large
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into full-scale physics operation, JUNO offers outstanding opportunities for early-career researchers to play leading roles in forthcoming high-impact discoveries. IHEP is the leading institute for the JUNO
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RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment
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will be given priority: 1. A strong background in theoretical and/or computational plasma physics, including expertise in radiation transport theory in nuclear fusion processes, plasma
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for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models
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AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials
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may be found at https://ccc.princeton.edu. Questions about the application process for this position may be directed to Celine Li at celineli@princeton.edu. This position is subject to the University's