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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Xi'an Jiaotong - Liverpool University
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using state of the art HTS equipment. Qualifications 1. PhD in any biological or medical science. 2. Desirable but not required, membrane protein purification, structure determination, molecular biology
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of research projects, complete experimental tasks, and write research papers. Responsible for writing and participating in subject experiments. Qualifications 1. PhD in relevant biomedical or biochemical
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position in statistics, machine learning, and data science. The postdoctoral researcher will be mentored by Professor Yiyuan She and will contribute to the development of innovative statistical methods and
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on date of birth and date of receiving the PhD degree, research statement, publication list, and at least three reference letters. The deadline is January 10, 2026 and applications received before this date
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
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/ Theoretical Particle Physics Nuclear Physics / Lattice QCD Lattice QCD and Heavy Ion Physics Machine Learning / Machine Learning Lattice Field Theory (more...) lattice gauge theory Appl Deadline: 2025/09/30
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. Fresh PhD graduates are encouraged to apply. The candidates are expected to: Carry out novel research and publish results at top conferences/journals. Contribute to supervision and training of graduate
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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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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processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted