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. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: Hands-on experience in nanofabrication techniques (e.g., electron-beam lithography
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optical sensing techniques. Minimum Qualifications: • Ph.D. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: • Hands-on experience in
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a Ph.D. degree in Aerospace Engineering or a related discipline by the employment start date and demonstrate potential to build an independent research program with externally funded research
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, innovative, and dynamic research projects. They will learn the routine lab techniques and build strong analytical skills. The work between the two labs is at the interface of biology and engineering, employing
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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candidate will have (or be soon completing) a doctoral degree in biomedical engineering, chemical engineering, pharmaceutics, or a related field. The candidate must be highly motivated with evidence of
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
Keeler-Klunk Lab in the Department of Genetic and Cellular Medicine is seeking a highly motivated scientist with expertise in immunology or genome engineering, to join our cutting-edge laboratory
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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engineering teams to implement and test models in production environments What We’re Looking For We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high