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staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials and Process Design Area of research: PHD Thesis Part-Time Suitability: The position is suitable
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who are not Swedish citizens need to submit an attested copy of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at https
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. Faculties, LSRIs and URCs may request consideration in accordance with the PhD Top-Up Scholarship Guidelines and Process for Academic Staff (https://www.staff.auckland.ac.nz/assets/staff/central-services/a-z
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26 Feb 2026 Job Information Organisation/Company University of Copenhagen Department Department of Nutrition, Exercise and Sports Research Field Biological sciences » Nutritional sciences Researcher
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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: the development of sustainable solutions in industry and society. This profile includes research on modern industrial processes, use of new and recycled materials, new technological solutions and the application
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application process here. About the position The Department of Mechanical and Industrial Engineering is seeking a motivated PhD candidate to join our materials and manufacturing (M&M) research team
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PROFILE: PhD/ R1: First stage Researcher RESEARCH FIELD(S)1: Engineering MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Engineering JOB /OFFER DESCRIPTION The widespread use of plastic materials has led to a
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16 Jan 2026 Job Information Organisation/Company University of Aveiro Department CICECO - Aveiro Institute of Materials Research Field Engineering » Chemical engineering Researcher Profile First
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
. Picchini. Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Transactions on Machine Learning Research, 2024 Kugler, F. Forbes, and S. Douté. Fast