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Field
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propellant space propulsion systems. A significant limiting factor of hybrid propulsion systems is the continuous change in surface area of the propellant grain during the combustion process. This changing O/F
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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, intermittent behaviour of renewable generation but also social aspects and market structures related to how we use electricity, increase uncertainty. Power systems are inherently nonlinear dynamical systems
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20th June 2025 Languages English English English We are looking for a PhD Candidate in Integrated Intelligent Monitoring Systems for Water Quality Dynamics in Fjords Apply for this job See
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systems and uncover insights that can be applied to design more robust and interpretable deep learning systems. Aims This project is designed to unravel the intricate learning dynamics and the nature
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understand how specific antivirals works. These antivirals disturb the structure and dynamics of viruses and the result is that the viral particles are not able to infect anymore. By specifically looking
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dynamics, control engineering, or dynamical systems. Required Skills/Qualifications: Experience with experimental methods (laboratory setups, sensors, data acquisition). Background in modeling of dynamical
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field. Research Field: Fluid dynamics, control engineering, or dynamical systems. Required Skills/Qualifications: Experience with experimental methods (laboratory setups, sensors, data acquisition
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. To complete this multi-scale approach, we have more recently been integrating the dynamics of the system. The aim of this project is to build a machine-learning ternary interatomic potential for the W-Cu-H
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Manufacturing (AM) is increasingly applied in repair and remanufacturing; however, integrating AM into supply chains demands new models and methods. In this PhD project, you will: develop dynamic supply chain