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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads
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collected in these trials will feed into the development of the Human Dietary Digital Twin—a computational model for the prediction of individual metabolic responses to complex meals. This modeling work will
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
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) giving you the opportunity to broaden your professional network. Employment conditions and benefits We offer you an internationally oriented and varied job in an enthusiastic team, with excellent working
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. A supportive and stimulating research environment with access to state-of-the-art resources. Access to a broad network of universities and research organizations, as this project is part of a
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universities and networks worldwide to become a truly global center of knowledge. Project aim This project is part of a ZonMw-funded collaboration between the Melgert and Prekovic labs and aims to uncover how
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assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, or (very) similar. Self-drive, creativity, rigor, sense of ownership, and excitement to push
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standards in key decisions. Serve as a liaison to internal, national, and international networks in the field of biosafety and biosecurity. Support communication and reporting to internal governance bodies
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to the world around us. Make the most of our bicycle budget, or join networks such as Young@EUR Opens external , FAME or QuEUR. - Time and space for your development in the broadest sense
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We are looking for two PhD candidates for a project within the Doctoral Network “MonaLisa”, a consortium of 20 partners composed of high-profile universities, research institutions and companies