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qualified to deliver courses in the core curriculum of a Chemical and Environmental Engineering programme. The person appointed will also be expected to conduct ongoing original research for publication and
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Physics, Chemistry, Applied Mathematics, or related fields. Desirable: Fluent English, spoken and written Strong background in computational Physics and Statistical Physics Previous work experience in
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Computer Engineering as well as a Biomedical Engineering concentration), MS, and PhD degrees in Electrical and Computer Engineering. Additional information regarding the department, including its mission, is
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Department Technology Manager - 25000969 Description : Department Technology Manager Robinson College of Business Computer Information Systems The J. Mack Robinson College of Business (RCB) at
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The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP82 project “NewUrbES – Co-creating new urban
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teachers to train and launch the next generation of international business leaders. Specifically, we are seeking an Adjunct Faculty in Data Science & Analytics with our undergraduate business program in
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
Review, Strategic Management Journal, Organization Science, and other prestigious journals. Qualifications Minimum Qualifications: PhD in management, entrepreneurship, or closely related areas. ABD
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rigorous and integrated training for students interested in undertaking research at the interface of computer science, mathematics, statistics, biology, and biomedicine to address the fundamental challenges
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. Advanced computer skills, including experience with Microsoft Office Suite. Advanced customer service skills. Relevant computer systems/technology experience. Understanding of financial transactions. Ability
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FORCASTING AI FOR EARTH OBSERVATION You will have : A PhD in computer science or a related field, and a strong reputation for rigorous international research in Clinical Data Science A well developed knowledge