614 Materials Science positions at Northeastern University in america in United States
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About the Opportunity This summer lab tech will be expected to contribute to the development of adaptive, biocompatible, and/or bio-inspired material formulations and prototypes that can undergo
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enthusiastic Research Scientist I or II with expertise in materials science & engineering. The Research Scientist is expected to work as part of a multi-disciplinary team and contribute to the successful
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About the Opportunity The Kostas Research Institute (KRI) at Northeastern University (NU) is seeking a highly motivated and enthusiastic Research Scientist with expertise in materials science
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Professor, or Professor), beginning in academic year 2024-2025 in the field of Experimental Quantum Materials and Sensors. The College of Science comprises six departments: Biology, Chemistry and Chemical
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About the Opportunity Northeastern University’s Department of Electrical & Computer Engineering seeks outstanding candidates for the position of Assistant/Associate/Full teaching professor with a
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of marginalized learner populations (including students of color, first generation and low income, LGBTQA+, International, students with disabilities and other underrepresented intersections of identity across all
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· Ph.D. in immunology, microbiology, cell biology or related areas · Experience with in vivo animal models of intestinal diseases and multi-color flow cytometry · At least one first-author publication in a
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- Electrical and Computer Engineering, Seattle Campus About the Opportunity About the Opportunity Responsibilities: Teach selected master level courses of the Master of Science in Electrical and Computer
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About the Opportunity Summary The Data and Student Services Associate will provide support to the College of Engineering (COE) MGEN co-op leadership in the day-to-day workflow and effective
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About the Opportunity The National Deep Inference Fabric (NDIF) is awarding Summer Engineering Fellowships to participate in a high-priority summer project to develop and rapidly scale AI research