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Field
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generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your results in peer-reviewed scientific journals and presenting them at (inter)national scientific
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of Cognitive Engineering and Decision Making, Volume 17, Issue 1, 2022. [2] A. Muzahid et al. “Survey on Human-Vehicle Interactions and AI Collaboration for Optimal Decision-Making in Automated Driving”, arXiv
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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10 Jul 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Engineering
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FieldEngineering » Materials engineeringEducation LevelPhD or equivalent Skills/Qualifications Hold a Ph.D. in Applied Physics, Organic Electronics, Materials Science, Chemical Engineering, or related disciplines
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the general study programme Electrical and Electronic Engineering; as per September 1, 2026, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
with language models (e.g., ChatGPT). More recently, AI has begun to be applied to scientific and engineering problems. Its goal is to create an "augmented engineer" who can carry out studies and make
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Mining Engineering - IV-26/26 Apply for this job See advertisement This is NTNU
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attention to how interventions such as optimised scour protection, engineered reef units, may contribute to ecological enhancement alongside broad social, natural capital and carbon outcomes. The work will
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the allocation optimization of economic and energy resources for sustainable development. Econometric modelling of the impact of AI on energy efficiency, emissions, and productivity. Examination of economic and