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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on a European consortium project, UP2030. UP2030 aims to support cities in driving the transitions
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a thorough knowledge of mechatronics engineering for electric vehicle systems and to have a working knowledge of a range of topics within the sphere of their chosen discipline. They will also be
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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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between biology, chemistry, medicine, physics, and technology and the interdisciplinary approach to research and education aims to further develop the theoretical and practical understanding of the complex
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, at the Department of Mathematics of the University of Coimbra. Project reference: UID/00324 - Centro de Matemática da Universidade de Coimbra Financed by Foundation for Science and Technology (Fundação para a Ciência
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our
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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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or international conferences. The successful applicant will have a keen enthusiasm for research in fluid mechanics, with a background in Engineering, Mathematics or a related discipline. Depending on experience and
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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