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, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , condensed matter theory; ultracold quantum gases , Energy Materials , Quantum Information , Soft Condensed Matter Physics
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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self
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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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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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developing innovative analytical methods for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in
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. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics, Computational Biology, Computer Science, or a related quantitative discipline. Strong statistical, computational, and communication
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, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault
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negotiable. Candidates with a PhD degree in experimental and theoretical particle physics, nuclear physics and technology, particle astrophysics and cosmology, quantum computing, technologies associated with
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to public transportation, international airports, convenient stores, hospitals etc. Job Requirements: We are seeking driven and collaborative applicants with the following qualifications: 1. a PhD in