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Job Title: Locum Associate or Senior Editor BMC Cancer and BMC Methods Location: Shanghai or Pune, Hybrid Working Model Application Deadline: Feb 13th 2026 About Springer Nature Springer Nature
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
-disciplinary academic environment. Outstanding applicants in other closely related fields are also encouraged to apply. School of Electronic and Computer Engineering The School of Electronic and Computer
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Materials R26-06 Development of Advanced Ceramics and Composites R26-07 Development of Magnetic Materials with high functionality by Data-Driven method R26-08 Welding and Joining R26-09 Microstructure
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& Publication Design Design Research Methods Design Theory & Criticism Guide Master’s and Ph.D. research scholars Develop advanced studio modules and interdisciplinary electives Conduct design critiques, juries
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, Corporate Law, etc.) Develop and update course materials, syllabi, and teaching methods Conduct original research and publish in reputable journals Supervise student research, dissertations, and theses Mentor
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cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our research spans the fundamental molecular, cellular, and physiological mechanisms underlying normal and
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at the university level Demonstrated expertise in mathematics and statistical methods relevant to data science Evidence of academic leadership, curriculum development, or program building (particularly for Professor
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Computer Science and Artificial Intelligence Deliver foundational and core courses including: Object-Oriented Programming Data Structures Discrete Structures Computer Organization Introduction to Machine Learning
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Computing with subjects across Computer Science, Philosophy and Statistics including software engineering, computer systems, cybersecurity, databases and data engineering, ethics and artificial intelligence
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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