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information encoding with natural light. Project Today, the holograms are still noisy and of limited quality. One important reason is the inaccurate, incoherent light propagation models and the absence
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the international component and the dual degree model. In such circumstances, and exceptionally to safeguard the researcher’s interests, the scholarship will automatically transfer to the strict category
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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disturbance experiments at Trinity College Dublin and on modelling resilience and RD at University of Zürich are planned. Research Project DC3 DC3 will use empirical plankton ecology to analyze both
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is decentralized or only partially observable? Depending on the research direction, you may employ techniques from mathematical modelling, machine learning, uncertainty quantification, distributed
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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energy Risk analysis Life cycle assessment (LCA) and modeling Should one or two of these components be lacking, it is nonetheless possible to supplement the knowledge base after the admission. Great
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and melt inclusions (MI) in volcanics from various plume localities and will use that data in geochemical and geophysical numerical modelling. The team will work on three main tasks: Improve
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agricultural sector in which agriculture goes hand in hand with soil health and nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative
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a mastication study with human participants and develop new approaches to simulating bolus structures in the laboratory. You will then use established digestion models to study nutrient release from