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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 Statistics, Biostatistics, Bioinformatics
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Statistics, Biostatistics, Bioinformatics, Computational Biology, Computer Science, or a related quantitative discipline. Strong statistical, computational, and communication skills are highly desired. A keen
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superstring theory, 3) Gravitational theory, astrophysics and cosmology, 4) Statistical physics, theoretical biophysics and bioinformatics, 5) Condensed matter theory, 6) Quantum physics, quantum information
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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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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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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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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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. A strong background in theoretical and/or computational plasma physics, including expertise in radiation transport theory in nuclear fusion processes, plasma magnetohydrodynamics (MHD), gyrokinetic
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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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Execution: Design and execute in vivo or cellular electrophysiology experiments according to the research needs, including the preparation of electrodes, signal acquisition and processing. Responsible