16 finite-element-analysis PhD positions at NTNU Norwegian University of Science and Technology in Norway
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universities in the Nordic region. Both departments have strategic initiatives in sustainable metallurgy and applying material science and chemical engineering to extract and recycle valuable elements from
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metagenomic libraries.' The PhD project will focus on: Developing synthetic expression elements (promoters, 5'-UTRs, and regulatory modules) to expand host compatibility. Engineering alternative microbial hosts
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generation. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent
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distribution. Developing and applying high-throughput data analysis methods for TEM experiments. Investigating corrosion initiation and propagation mechanisms and linking them to alloy composition and processing
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orbitronics. Such models can assist in developing new concepts in quantum transport where the key component is the orbital angular momentum of electrons rather than their charge or spin. The system will be
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is important that you are able to: Work independently and take initiative Plan and carry out work systematically Tackle research questions with curiosity and self-motivation Engage in critical analysis
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an Integrated PhD study plan[1] You must have some relevant skills and competencies in systems analysis, optimization and/or operations research You must have a strong academic performance from your previous
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other commercially valuable elements from brines and recycled batteries. However, current extraction processes face challenges related to ion selectivity and transport efficiency, limiting the performance
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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Learning from Human/AI Feedback). Moreover, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data