350 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers
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The Department of Physics at the Hong Kong University of Science and Technology invites applications for several tenure-track faculty positions at the Assistant Professor level. We seek candidates
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If you are establishing your career as scientist and seeking a strong platform to realize your ambitions to use glycoengineering and cell-based exosome engineering to elucidate the role of glycans
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in
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Materials, Computational Materials; Synthetic Chemistry, Chemical Biology, Polymer Science, Analytical Chemistry, Theoretical Chemistry, Chemical Engineering; High-Energy Experimental Physics, Quantum Physics
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and Engineering Information Technology in Artificial Intelligence Sustainability Science and Technology Mathematics Program Highlights: Recipients will be awarded the Westlake Fellowship that includes a
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advantageous to complement the existing expertise in genome editing techniques and disease mechanisms across all organs. The selected candidate will develop and maintain a thriving independent research program
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Job Description Job Title: Programme Manager, Nature Awards Location: London - Hybrid working model Applications Deadline: 10th March About Springer Nature Springer Nature is one of the leading
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technologies, software development, algorithm design, and data applications. Discipline, including, but not limited to: Computer Science and Technology, Cyberspace Security, Data Science and Big Data Technology
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, gene editing, medicinal chemistry, and DNA-encoded library (DEL) technology, among others. For detailed information, please visit us at https://siais.shanghaitech.edu.cn/ . Join Our Institute: Faculty
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning