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expenses Duration: 36 months, with the possibility of an international exchange period Workload: Full-time (40 hours per week) Expected start date: April 2026 Requirements: • PhD in Chemical Engineering
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Engineering » Other Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Ireland Application Deadline 20 Feb 2026 - 23:59 (Europe/Dublin) Type of Contract Temporary Job
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 13 days ago
: Doctorat en Mécanique Numérique et Matériaux PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/134948 Requirements Specific Requirements Engineering degree
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Design and Synthesis of Next-Generation High-Performance Energetic Materials School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Dr Bradley
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Department of Biomedical Engineering Posting Number R260018 Posting Link https://www.ubjobs.buffalo.edu/postings/60764 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment
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work together with an experienced PhD researcher at the Chair of Air Transport Technology and Logistics and together with other chairs being part of the RTG. Requirements: good or very good university
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are challenging to control in turbulent burners. An alternative investigated in this PhD is the use of porous burner technology. The recirculation of heat within the porous material can stabilize flames at low FAER
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Field Chemistry » Applied chemistry Biological sciences » Biological engineering Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 11 Feb 2026 - 16:00 (Europe
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Engineering; Technology Microelectronics. MUIM: Advanced Manufacturing of Functional Materials. Research profile: 3307-Electronic Technology. Where to apply Website https://sede.upm.es/procedimientos
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Job related to staff position within a Research Infrastructure? No Offer Description PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1