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the seasonality of that precipitation. Past warm climates such as the Eocene provide natural experiments to test model performance in projecting non-analogue future global and regional hydrology and dependence
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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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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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satellite observations, climate reanalysis data, and numerical models to better understand how sea ice is transported out of the Arctic and how heat is exchanged between the ocean, ice, and atmosphere. Your
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the physical and biological pumps during rapid climate transitions (e.g., the last glacial period and Holocene) using sediment records. Our data will be used in marine carbon cycle models to predict
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel
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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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novel as well as state-of-the-art methods to map and functionally characterize RNA structure ensembles under different cellular conditions. Explore the therapeutic potential of targeting RNA structure