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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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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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for planar scanning probe microscopy to conduct experiments on scanning nanogap cavities, notably scanning probe microscopy of defect centers in 2D materials • Continuous improvement of scanning probe
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-called "dark patterns" and manipulative tactics in the user interfaces of a range of technologies voice and vocal cues that subtly change behaviour Other critical computing topics that may be difficult
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theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
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consider the multiple health and other impacts when deciding on appropriate action. This PhD studentship will conduct an assessment of the impacts of policies aimed at improving home energy efficiency
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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actively participate in GIA events as well as be responsible for organizing outreach activities. They will have the opportunity to conduct a limited amount of teaching and gain valuable teaching experience
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Conduct large-scale MD simulations on supercomputers and HPC clusters Analyse simulation results and compare them with experiments Is Your profile described below? Are you our future colleague? Apply now
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in the Netherlands for NLP/CL, with ties with the Media Studies group. As part of this PhD, the candidate will: Conduct independent research on the themes of the project and complete the PhD project in