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performance at interview. Project Description (EngD): EngD on Multi-Stage Simulation of Aerospace Out-of-Autoclave Composite Manufacture sponsored by GKN Aerospace (Supervised by Dr Mikhail Mateev and Prof
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Engineering, or related scientific fields; - Suitability of the candidate's training and experience to the objectives of the work to be developed; - Possess relevant experience in automation, Industry 4.0
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the framework of STAMP-IT Project, 18405 - COMPETE2030-FEDER-0147390, financed by Portugal 2030, under the following conditions: Scientific Area: Manufacturing and Industrial Management Admission Requirements: be
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performance at interview. Closing Date: 29th January 2026 Project Description (EngD): Double Diaphragm Forming for Sustainable Composites Manufacturing, sponsored by Syensqo (Supervised by Prof Lee Harper
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provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Professora Luísa Maria Rocha Durães Effective Members
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learning and living environment and scientific research and innovation conditions with its first-class teaching and laboratory environment, complete living facilities and a pleasant campus ecology. https
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
employment. Starting date: 01.12.2025 Job description:PhD Student (f/m/d) in Ion Irradiation and Materials Characterization of Novel Additively Manufactured Materials for Fusion Applications With cutting-edge
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properties of the different protein extracts, with particular emphasis on properties relevant to the food industry, namely emulsifying capacity and bioactivities. iii) To investigate the interaction
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- Balance of Plant). Monitor the manufacturing and assembly of the reactor, ensuring compliance with project specifications. Support the team in the installation and electrical integration of all components
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | about 2 months ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will