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diffusion define the network formation, but are dramatically influenced by the density of the growing network. To address this complexity, the PRONTO researchers will develop multiscale computational models
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of interacting active filaments; Develop a new density functional theory for prediction of Isotropic-nematic transition in active filaments; Write articles resulting in publications in peer reviewed international
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, including literature research, reconstruction design, making and monitoring, and data analysis; presenting intermediate research results at meetings and conferences; assist with teaching master’s level
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funded by a starting grant from the Ministry of Education, Culture and Science of the Netherlands led by Dr Marija Cetinic and Dr Diego Semerene, of which the PhD position is a part. The PhD fellow will be
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satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is 1 September 2024. This should lead to a dissertation (PhD thesis). We will draft an educational plan
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develop a shared database; Publish one single-authored, peer-reviewed article, videographic work or web-based project in line with the project focus; Present intermediate research results at workshops and
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develop a framework consisting of a set of programming language methodologies and tools for the specification, verification and generation of software and configurations for programmable data planes. Making
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, and related disciplines (e.g. sociology, economics, political science, communication studies), the PhD project will develop new knowledge on these important topics. As a member of the Strategy
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. What are you going to do? As a PhD candidate you will: Engage in advanced research on stochastic modelling techniques and their applications in the financial aspects of renewable energy markets. Develop
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seek to locate a ‘sweet-spot’ application domain in near-term quantum computers whereby we might surpass classical capabilities. Develop and implement a hybrid quantum/classical computing environment