198 innovation-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
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- University of Amsterdam (UvA)
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- Radboud University
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- Hotelschool The Hague
- Sanquin Blood Supply Foundation (Sanquin)
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
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the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and
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Are you fascinated by scientific and technological innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic
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attention for professional and personal development. What you do You will be primarily responsible for experimental design and development of AI-driven computational tools for detection and non-invasive
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students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering
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Are you the enthusiastic researcher with a background in cryoconservation of genetic material? Do you want to pioneer innovative cryotechnologies that safeguard the genetic diversity of livestock
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in the fields of art, history, language, culture and communication, using innovative methodologies and collaborating closely across disciplines. Our research is embedded in two research institutes
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methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design principles for constructing smart, adaptive microsystems, potentially useful for targeted drug delivery
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aneurysms (AAA), a potentially life-threatening vascular disease that is currently monitored primarily using diameter measurements. You will develop innovative multi-aperture matrix-array ultrasound systems
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. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway
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, reliability, and operational performance. As railway infrastructure ages and traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict