31 data-"https:" "https:" "https:" "https:" "https:" positions at Nature Careers in Worldwide
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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will begin on February 28, 2026 and will continue until the position(s) is filled. To apply, follow this link: https://apply.interfolio.com/180398 . If you have any questions, please email the NYU
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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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demonstrating the quality and impact of your scholarly work. The names and contact information of at least 3 references. Any additional supporting documents or evidence of your research, teaching, or leadership
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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 optimize methods to measure neuronal activity and morphology.Combine the two methods to detect the cell type and neuronal physiology in one experiment. Computational & Data Analysis Apply advanced
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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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, 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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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