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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- HETAO INSTITUTE OF MATHEMATICS AND INTERDISCIPLINARY SCIENCES
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, collaborate with the top experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a PhD degree in Physics or related fields from a recognized university
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the level of post-doctoral researcher with two-year term. The Position will remain open until filled. Fresh PhD graduates are encouraged to apply. The candidate is expected to: Carry out novel research and
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for successful candidates. We have strong administrative support who can assist with housing, visas and other personal matters. REQUIREMENTS FOR APPLICATION The candidate must have or is about to obtain a PhD
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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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professional and personal life at a reasonable cost of living. Qualifications 1. A PhD in Physics 2. Strong academic record 3. Research experience in gravitational-wave physics, particularly in any
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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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Equations & Applications Data Science, Machine Learning, and AI Mathematical Materials Science and other emerging fields in applied mathematics Qualifications: A PhD (completed or expected by the date
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-Knowledge Proofs Fully Homomorphic Encryption Post-doc Position The position is open at the level of post-doctoral researcher with two-year term. The Position will remain open until filled. Fresh PhD
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Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home
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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, energy