143 experience-design-"https:" "https:" "https:" "https:" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
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. The project focuses on five interlinked objectives related to the above-mentioned aims. The research spans field observations, laboratory experiments and mechanistic models. The project team consists of two PhD
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accurate despite the large temperature gradients present in cryogenic experiments. You will explore full-field techniques such as digital image correlation, speckle and grid methods, interferometry, digital
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electromagnetic techniques for analyzing state-of-the-art RF applications and systems? Are you interested in making RF system design possible in which even the small details can be readily incorporated
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design of polymer materials with tunable properties and recyclability exploiting the functionality of biobased building blocks. You will operate from the Brightlands-Chemelot Campus in Geleen (NL), where
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, material design, environmental design, or a related field. Experience with prototyping, material testing and experimentation, façade design, circular design, bio-based materials, or sustainability assessment
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, to explore how people experience temporal and biofabricated textiles through biosensing, user studies, and Material-Driven Design. Job description Our bodies are in constant dialogue with the textiles we wear
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process for PhD students. Where to apply Website https://www.academictransfer.com/en/jobs/362809/phd-position-in-ic-design-group… Requirements Specific Requirements You are highly motivated and an
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Why do some women with chronic inflammatory diseases experience difficulties with
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motivation for academic research and curiosity about global talent and innovation systems; quantitative analytical skills, including experience with data analysis and statistics; experience with web scraping
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rules directly from multicellular migration experiments. We therefore seek a candidate who is excited by rigorous statistical mechanics and data-driven modelling, and who is eager to use these approaches