54 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" positions at Nature Careers in Worldwide
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titled “ Position you apply for+Field+Your name” to college@cityu-dg.edu.cn For more information, please visit the University website below： https://www.cityu-dg.edu.cn/en/academic-positions 香港城市大学（东莞） 讲席教
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+ Your name” to college@cityu-dg.edu.cn For more information, please visit the University website below: https://www.cityu-dg.edu.cn/en/academic-positions
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subject line titled “Position you apply for + Field + Your name” to college@cityu-dg.edu.cn For more information, please visit the University website below: https://www.cityu-dg.edu.cn/en/academic-positions
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subject line titled “Position you apply for + Field + Your name” to college@cityu-dg.edu.cn For more information, please visit the University website below: https://www.cityu-dg.edu.cn/en/academic-positions
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and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very good English skills. High motivation to strive for scientific excellence and to
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Biotechnology (https://www.sciencedirect.com/science/article/abs/pii/S0958166923000770?via%3Dihub ). Your responsibilities: You will develop and investigate fermentation processes with heavily reduced CO2
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, leadership, and data science. Special training for writing successful ERC Starting Grants as a ‘ticket’ to an outstanding academic career. Being part of a thriving academic and social community in Vienna, one
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://facrecruit.hkust-gz.edu.cn ) . You should first sign up to create your personal account. For more information on HKUST(GZ), you may visit the recruitment website (https://www.hkust-gz.edu.cn/join-us/ ). Review of
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and workflows, incorporating AI/ML approaches where appropriate. Apply machine learning and advanced analytics to variant prioritization, disease association, and multi-omics data integration. Curate
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. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data. In this project, we will leverage expertise and technology in peptide T-cell