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will investigate the potential of a novel volumetric bioprinting technique to understand how mechanical and chemical factors affect pancreatic specification and to generate a rapidly vascularising
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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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with an interdisciplinary team of project partners. Collaborate with other postdocs and PhD students in the research group. Organisation Since its foundation in 1614, the University of Groningen has
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academic backgrounds and industrial experience in a broad variety of disciplines such as propulsion, avionics systems, system engineering and integration, mechanical systems, assembly, integration and test
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Duijnhoven , which currently consists of 6 PhD students and 2 postdocs. Within the NWO-project, you will closely collaborate with the postdoc and Principal Investigator (Prof. dr. Riccardo Fodde) at Erasmus MC
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dynamic processes using differential equations, integrals, probability functions, and applied statistics. Therefore, having experience using more than one of the following languages is crucial: Matlab
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external funding; Establishing and coordinating a learning community in the field of Data Science and Healthy Lifestyles to promote knowledge sharing and collaboration. Your qualities A completed PhD in a
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wet-lab and in silico work. You must Hold a PhD in molecular biology, biochemistry, or related disciplines. Have experience with basic molecular biology techniques (e.g., qPCR, western blot, cloning