53 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "UNIV" positions at Nature Careers in Worldwide
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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
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
technical autonomy. You will be responsible for engineering the core imaging data science infrastructure that powers our clinical and research missions. In addition to collaborating on high-impact AI research