200 innovation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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priorities. To achieve this, POLARIS brings together expertise in leukodystrophy biology, advanced disease models, therapeutic innovation, biomarker development, clinical translation, patient engagement, and
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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, you will analyze resource flows, evaluate circularity scenarios, and support sustainable design and decision-making across interconnected sectors. This PhD is part of the Greenhouse in Transition
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. You will design and conduct studies in collaboration with primary schools and educational partners, review the scientific literature, recruit and test participants, develop and evaluate educational
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more circular use of carbon resources? In this PhD project, you will explore innovative light-driven strategies for the chemical recycling of polymers. By harnessing the unique reactivity and precise
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multidisciplinary consortium brings together academic medical centres, universities, healthcare organisations and industry partners to develop and implement innovative technologies for home-based healthcare and
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students who are all focused on unravelling the potential toxicity of chemical exposures in our daily lives using innovative in vitro toxicity testing approaches. Your job At the Toxicology Division we aim
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innovation science, system dynamics, spatial modeling, and ecology. The specific focus of this PhD project is biodiversity monitoring and biological pest control as an ecosystem service. You will study how
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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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imaging methods that are more robust and computationally efficient, while also providing a natural framework for uncertainty quantification and experimental design. A central question is whether suitable