74 postdoc-in-distributed-systems-and-controls Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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matter theory. Recent works of Dr. Wang can be found at https://arxiv.org/a/wang_c_4.html. Candidates with research experience in strongly correlated systems, topological phases of matter, quantum
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, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency
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those who have held leadership positions in schools. The appointee will work on projects on STEAM, AI and language education. He/She is expected to provide school-based professional support to schools
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of Physics (Ref.: 532531). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and analytical field-theoretical approaches is desirable. Applicants who
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for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until [October 6, 2025] or until the post is filled, whichever
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plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a theme-based collaborative project. For further information, please contact Professor Stephanie Ma
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will start as soon as possible and continue until 10 Nov, 2025, or until the posts are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics
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development is a strong plus (e.g., domain-specific agents, RAG, code generation, or practical applications); Experience in grant proposal preparation; and Proven experience in research project management
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technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
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oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS