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case study of multicultural students in primary and secondary schools in Hong Kong. He/She will be required to design research questions, review literature, manage data collection (including design
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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across a range of temperatures and under conditions representative of dynamic operation. Responsibilities and qualifications Your primary responsibilities will include: Studying the mechanical behaviour
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit The Department of Earth, Marine and Environmental Sciences (EMES) and the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
by the diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit The UNC Eshelman School of Pharmacy
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-tumor immunity. Our lab's primary interest lies in understanding how T-cell signaling pathways influence cancer progression, with the goal of identifying and developing novel immunotherapies. We aim
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Neurobiologie (ZMNH) Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and
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Biomedical Science related Master´s degree or DVM degree in addition to a PhD are preferred. This position will require attention to detail, leadership abilities, problem-solving skills, and a passion for
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master's or diploma degree in computer science or mathematics already successfully completed doctorate confident demeanor and proficient use of German and English (both equivalent to at least B2) expertise
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning