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Field
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tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement learning strategies for comb generation
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are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain. The Institute of Physics (IoP) of the University
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. The main objective of this project is to unravel the molecular mechanisms of virus self-assembly. RNA-containing viruses are complex, nanometre sized particles with at their centre proteins covering the RNA
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molecular biology techniques and smFISH. Conduct multi-omics data integration across experimental platforms (e.g. NGS, Imaging time lapse, particle tracing) Collaborate with interdisciplinary research teams
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focus on the following areas: Subspace tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement
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mechanisms of virus self-assembly. RNA-containing viruses are complex, nanometre sized particles with at their centre proteins covering the RNA. We want to find out how these complex assemblies are built up
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within fusion reactors, especially plasma-facing materials (PFMs) exposed to intense heat fluxes and energetic particles. Understanding and predicting how these materials degrade under such conditions is
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superposition and entanglement to “large” objects that we usually think of as classical particles. This is exactly what you will do at TU Delft. As a PhD student in our teams, you will investigate how
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at the “small” scale of atoms and molecules. Imagine extending effects like quantum superposition and entanglement to “large” objects that we usually think of as classical particles. This is exactly what you will
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-financed by the Interreg Atlantic Area Programme through the European Regional Development Fund Workplan: The PhD plan is aimed at implementing Lagrangian and Eulerian descriptions of the motion of particles