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Field
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recycling process that transforms high-quality leather offcuts, from the automotive and aviation industries, into sustainable thermal insulation boards, reducing landfill waste and supporting the circular
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do, both in your work and in your development. Read more about our terms of employment . Selection process At Utrecht University, we strive to be a place where everyone feels at home. We value
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combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system development incorporating a range of decarbonisation technologies. This position is part of the EPSRC
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Researcher for the exercise of research activities in the scientific area of Materials Science and Engineering, to exercise the functions of processing and fractionation of vegetable by-products; development
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 24 hours ago
in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must be in English or include
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Vitae with transcripts; Copy of the relevant certificates (Copy of the Degree Certificate(s) is required to sign the contract). Apply online clicking on the “Apply Now” button in this form: https
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process