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the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! Do you want to do exciting multidisciplinary research in the fast-developing
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management. Within WENR we develop and apply geographically explicit instruments, including models and monitoring approaches, to determine the effects of management and land-use change across forests, cropland
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of Technology (TU Delft) is hiring a doctoral candidate on the topic of “Climate-resilient buildings inspired by nature”.BIO-SKIN is developing a bio-based, waste-derived and circular façade with plant growth
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of environmental biotechnology and engineering, systems microbiology, and computational biology, with ample opportunities to develop your own scientific ideas. Job requirements The ideal candidate will have the
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of asthma and asthma exacerbation, and long term risks for reductions in pulmonary development and lung function. These health risks can have cascading impacts on academic achievement and socioeconomic
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Job description Do you want to contribute to the cutting edge research blending mobile computing, AI, dentistry and sleep sciences? Do you want to help in developing ultra light and ultra small and
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
space to shape your work independently and develop your ideas. A close-knit community of colleagues to collaborate and grow with. A solid pension plan via ABP, company fitness schemes, and access
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or more-than-human research methods and evocative and creative forms of writing. You will contribute to the development of conceptual approaches to geological anthropology. You will actively participate in
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November 2026. Where to apply Website https://www.academictransfer.com/en/jobs/362992/phd-olfactory-training-for-cogn… Requirements Specific Requirements You hold a Master's degree in one of the following
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional