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Field
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, proteomic and cellular changes in SNAREopathy cell models, in induced pluripotent stem cell (iPSC)-derived neurons from SNAREopathy patients. The key objectives for this project are: To upscale and multiplex
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theoretical modeling, numerical simulation, and experimental validation. Key objectives can include: Developing theoretical and computational models for friction-induced damping in joints and interfaces
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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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to critical metal exploration in magmatic settings. Training A personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated
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. Besides this, you will work on scene understanding using RGB and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other
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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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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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subprojects: To identify the type of people that are most often and most intensely exposed to algorithmic persuasion attempts on TikTok and the characteristics of these attempts you will use eye-tracking and
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of these attempts you will use eye-tracking and data donation. To analyze how different types of people cope with algorithmic persuasion on TikTok and how this relates to how they are affected you will make use of a
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal