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globally. Recycling of PET at an industrial level via conversion to monomers for resynthesis is close to becoming a reality at the CARBIOS plant in France and at plants elsewhere. The recycling process is
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the Excellence Engineer Education and Training Program. It has outstanding advantageous disciplines. Among them, the specialty of Electrical Machinery ranks high in China, and multiple disciplines
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on the application process, please contact the School's HR Team on mmllpersonnel@admin.cam.ac.uk . The closing date for applications is midnight (BST) on Sunday 15 June 2025. Click the 'Apply' button below to register
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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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infographics, audiovisual media (videos, including short and animated videos, podcasts, etc.). Qualifications: Enrolled in a B.Sc., M.Sc. or Ph.D. program at McGill University. 1+ year experience in science
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
. degree in mathematics, physics or other subject of relevance for the position Ability to develop computational code that can solve problems and integrate it into existing frameworks Experience with Monte
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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of Excellence PhoenixD. Who are we looking for? The prerequisite for employment is a university science degree in physics/optical technologies or engineering. In the case of proven technical expertise (in
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to provide a nationally recognized program of learning opportunities for graduate students, fostering the knowledge and skills that enable graduates to compete successfully and contribute significantly
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS