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Field
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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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supply system for providing electricity (and heat/cooling) for the DAC plant Detailed model for DAC operation with respect to fluctuating energy supply and climatic conditions Model for assessing
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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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available to conduct research on chronic pain. Using animal pain models, behavioral tests, calcium imaging, patch-clamp, optogenetics, neuroanatomy, molecular biology, the successful candidate is expected
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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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experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand
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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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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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used to train surrogate models that can instantly predict quantities required by component scale CFD wall boiling models for different flow conditions and heat transfer surfaces. Key milestones
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: Coordination Layer: Formulate passivity-based conditions that guarantee agents—modelled as general nonlinear systems—synchronize their outputs or follow desired collective patterns purely through local