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to sustainable alternatives. The European Green Deal and the REPowerEU Plan highlight the urgency of decarbonizing Energy-Intensive Industries (EIIs) while ensuring energy supply resilience. However, many
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Engineering or related fields; ii) Suitability of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in projects in the area of Agriculture 4.0 3. Work Plan
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leader will be the Head of Department. About the project The PhD position is funded through the Research Council of Norway Innovation Project vitro.scale, led by Vitroscope AS in collaboration with SINTEF
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," part of the Observatory of Higher Education Innovation, which brings together researchers and PhD students from different countries. As a member of the group, the candidate will contribute to joint
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to translate fundamental mechanistic understanding into broadly applicable strategies for catalyst and electrochemical system optimization. The PhD student will work on the design, characterization, optimization
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microscope, specifically optimized for spin-wave spectroscopy. Three patents have been filed on the original design, and the setup has already demonstrated unsurpassed spectral resolution. This project is
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 1 month ago
) for Functional Material Design in Summer 2027! We are recruiting doctoral candidates to help shape a resource-efficient future. The candidates will work on individual projects exploring how we can learn from
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services (fast frequency response, voltage control, etc.) were not designed to handle at scale. The project will characterize current and benchmark Nordic/EU frameworks, develop spatially/temporally resolved
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. Research groups This project will be conducted within Tim Coopmans’ research group at QuTech, the quantum research institute of Delft University of Technology. The group focuses on the design of quantum
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: Developing a system-theoretic framework that models learning as the feedback interconnection between continuous-time circuit dynamics and optimization algorithms. Designing novel energy-based learning