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Technology (SUSTech) is excited to invite outstanding candidates for full-time tenure-track/tenured faculty positions at all levels (Assistant/Associate/Full/Chair Professor). We are seeking visionary
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applied sciences help move science and society forward. Nature Portfolio is home to the leading, international weekly journal of science, Nature – founded in 1869. It is also home to the Nature research and
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://www.sci.tohoku.ac.jp/english/department/gp.html Chemistry: http://www.chem.tohoku.ac.jp/english/ Earth Science: https://www.es.tohoku.ac.jp/EN/ Target Candidates: This position is intended for Early-to-Mid-Career
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
transformations of the intelligence era. As the world’s first higher education institution to establish AI for Science as an academic discipline, the School is dedicated to advancing the deep integration
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280 international programs of different types. The University has currently established four world-classdisciplinary groups: computer data science, materials chemistry, biomedical science, and economics
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, Materials Science, Energy Science, Energy Engineering, Optics, Computer Engineering, Integrated Circuits, Information Engineering, Robotics, Network Science, Artificial Intelligence, Financial Engineering
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research and build an internationally visible programme. Research Environment UWM is a rapidly developing research university with expanding international partnerships and modern research infrastructure
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, artificial intelligence, and complex systems. Our mission is rooted in a collaborative culture where dissolving traditional boundaries accelerates profound discovery. Central to this mission is our distinctive
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Einstein College of Medicine About Us The Department of Genetics at Albert Einstein College of Medicine (https://einsteinmed.edu/departments/genetics) was established in 1964 and has a storied history of
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical