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? As a PhD candidate, you will develop an integrated modelling framework to analyze the Water-Energy-Food (WEF) nexus in Controlled Environment Agriculture (CEA), including greenhouse and vertical
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/or machine learning background to join the Parallel Computing Systems (PCS) group at the University of Amsterdam. We look for vulnerabilities of AI systems across the whole AI system: from adversarial
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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and biological mechanisms underlying bleeding phenotypes by integrating whole-genome sequencing with functional studies in individual patients and affected families. In parallel, the project focuses
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results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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Job description Recent trends in Controlled Environment Agriculture (CEA) development, design, and operations related to energy saving and greenhouse gas emission reduction, are mainly focused
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in the meninges of murine models of activated PI3Kδ syndrome (APDS), an inborn error of immunity associated with immune and neurodevelopmental abnormalities. In parallel, you will lead the
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integrated with the experimenta research led by Dr. Bettina Baumgartner. The two PhD candidates will work across the work packages in parallel so that experiments and computational simulations continuously
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scientific importance. The computational work will be closely integrated with the experimenta research led by Dr. Bettina Baumgartner. The two PhD candidates will work across the work packages in parallel so