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plus and will help you engage effectively with local communities and operational partners. Where, how, and with whom you’ll work You will join the Geoscience and Remote Sensing department at TU Delft
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synthetic cells and biomedical device development; strong motivation, flexibility, and the ability to run multiple projects simultaneously; strong verbal and written English communication skills (C1 level or
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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speaker and impassioned physician who is dedicated to patients and the medical community, and whose research work has been published in leading medical journals. He has received multiple scientific awards
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, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
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their mutual interdependence. The project aims to chart the entire ecosystem of Dutch-language prayer books over a long period of time by combining quantitative digital analysis with advanced qualitative
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or more of the following topics: femtosecond lasers - terahertz time-domain generation and detection - nonlinear optics, this is considered a strong advantage. Very good verbal and written communications
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disciplines and work with uncertainty; excellent written and verbal communication skills in English; a proactive, connecting working style and the ability to collaborate effectively with diverse stakeholders
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valued. A genuine interest in the circular economy and the regulatory landscape of plastic recycling (e.g., DPP, EU Green Deal). Excellent communication skills and the ability to work effectively in a