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Field
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which wind-farm-induced changes in the atmospheric flow and boundary-layer structure can affect precipitation. Targeted simulations with and without wind-farm effects will be used to quantify
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University of Twente, and Maastricht University. Working closely with a PhD candidate and the project's supervisory team, you will design, train, and iteratively refine the CLARA AI agent — bridging cutting
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of tomato promoter elements controlling the Zn and Fe deficiency responsive gene expression. You will design specific constructs to edit transcription factor genes and their target promoters, and analyse
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laboratory experiments to build an eMRV framework supplementing traditional MRV. Observational approaches include deployment of passive chemical samplers, quantifying organic matter export, examining eDNA
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Would you be interested in exploring how multi-agent aerial manipulation can contribute to construction, in particular by assembling a pavilion? Job description Advancement of aerial robotics
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of uncertainty and complexity. Applicants must have: A PhD degree in a relevant field, e.g. urban geography, urban planning, innovation studies, (social) design (research), public administration
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are strong in advanced chemical engineering research and enjoy hands-on experimental work. You are eager to grow your expertise and enjoy engaging with and supporting students. You need to have: A PhD
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also inherently sustainable, moving us toward a future where infrastructure is grown, not just built. The project aims to prove the concept of hard/soft concrete composites. Your work will build
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constituent-specific remodeling laws that describe chronic changes in myocardial structure and function. You will couple tissue-level cardiac mechanics to systemic hemodynamic and neurohumoral inputs within
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to support your professional growth. Job requirements You hold, or expect to obtain before the start of the project, a PhD degree in a relevant discipline. You have a relevant research track record in one