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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 4 days 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
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 4 days ago
Optimization of part design based on computational technologies Manufacturing of proof-of-concept parts using AI-optimized parameters for iSLS Post-processing of proof-of-concept parts Participation in
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and the magnetocaloric materials; iii) producing liquid metal with high thermal conductivity and optimized rheological properties for efficient heat exchange. Additionally, the fellow will contribute
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degree in Electrical and Computer Engineering, Mechanical Engineering or related scientific fields; - Be enrolled in a Doctoral Program in Intelligent Systems Engineering, Electrical and Computer
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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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This opportunity adds to the portfolio of projects within the new CDT for Innovation for Sustainable Composites Engineering launched in 2024: https://www.bristol.ac.uk/composites
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on the electronic platform https://apply.uc.pt/ to submit their application, selecting the procedure to which they wish to apply. Documents uploaded for the application must be in portable document format (PDF
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
, optimization, calculus and probability and statistics. Duration: The research fellowship(s) will have the duration of 3 months. It’s expected to begin in (November/2025), and may be eventually renewed up
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- Application Submission Candidates must access and register on the electronic platform https://apply.uc.pt/ to submit their application, selecting the procedure to which they wish to apply. Documents uploaded
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optimized integration of applications (including commercial software capable of cluster operation (MATLAB, ANSYS)) d) support for users (students, teachers and researchers) in accessing and using