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interventional research. Formal application: Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees. We regret that only shortlisted candidates will
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, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3
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an emphasis on technology, data science and the humanities. LKCMedicine is searching for a Research Associate/Fellow in the field of Learning Analytics (LA) / Machine Learning (ML) under Professor Andy Khong
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3 years postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience working with remote sensing. Experience with crop physiology is a plus. Strong numerical
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Universities; and #8 for Data Science and AI by QS World University Ranking. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers
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disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state
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engineering, protein engineering, or medicinal chemistry. • Skills: Cryo-EM, Biochemistry, Cell Biology • Experience: Ph.D. degree in structural biology, biochemistry or cell biology More Information
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facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking to recruit a highly motivated and talented Postdoctoral Research Fellow
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Qualifications • A PhD in Atmospheric Science/Mechanical/Environmental Engineering or equivalent • Proficiency in computational fluid dynamics (CFD) simulations software • Strong passion in research and
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are welcome and should be made to: Professor Eu Leong YONG, email: obgyel@nus.edu.sg. Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV