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therapeutics will be tested in these models, such as vagus nerve stimulation and anti-inflammatory compounds. Some of these scientific questions will further address the complexity of innate immune signaling
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the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics its processing capabilities but also its adaptability, leveraging early
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the application. Required qualifications: Knowledge of marine biology and marine ecological processes Strong skills in statistical modelling and spatial data analysis Capacity to work with complex datasets Other
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through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University external link
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, applying advanced modeling techniques and analyzing large-scale datasets to contribute to healthcare policy decisions. The PhD project will be supervised by Dr. Nora Franzen and Professor Maarten J. IJzerman
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
we will explore two fundamental questions: How did life emerge on Earth, and how common are the conditions elsewhere in the universe? To answer these profound questions, we will take an
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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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) to simulate sewer/stormwater system behaviour, predict risks, and optimize interventions. GNNs act as surrogate digital twins, embedding hydraulic principles to model how land-use changes and extreme weather
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Production (NBP) estimates from Terrestrial Biosphere Models (TBMs) with atmospheric transport models, the PhD candidate will also estimate how much the Cerrado and Caatinga biomes influence the carbon budget
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applications (f/m/d) The Institute of Environmental Physics conducts research on the topics atmospheric modeling and observations. We are looking for two enthusiastic PhD students who are interested in