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machine learning — 20% Interview (when applicable): • 30% Each parameter will be evaluated on a scale from 0 to 20 points. 10. Selection Committee The Selection Committee is composed of the following
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parameter will be evaluated on a scale from 0 to 20 points. 10. Selection Committee The Selection Committee is composed of the following members, all from the NOVA School of Science and Technology, NOVA
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engineering projects is increasingly complex, particularly when balancing human expertise and Large Language Models as collaborative agents. This project aims to propose a reputation-based agentic Artificial
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10 Feb 2026 Job Information Organisation/Company Instituto Superior Técnico Department Direção de Recursos Humanos Research Field Engineering » Materials engineering Researcher Profile First Stage
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- Work Plan / Goals to be achieved: Hydrogen storage remains a critical challenge hindering the large-scale implementation of hydrogen as a primary, non-toxic, renewable, and fossil-free energy vector
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13 Feb 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions
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on technology with potential to impact billions of lives offers unique exposure to large-scale development challenges and solutions. Graduates will develop a unique combination of technical understanding
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19 Dec 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
manufacturing documentation that supports quality control and scalability. Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships is creating leaders in technology and
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analytical techniques while contributing to the optimization of toilet system performance through rigorous scientific analysis and data interpretation. Cranfield’s world-class expertise, large-scale facilities