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Field
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critical questions, are eager to engage with others, disseminate your ideas, and translate complex and isolated information into accessible narratives. Research: You will reconstruct accurately
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formed to engulf cellular material, is critical for cellular health and healthy ageing. This process is hierarchical and can be understood as a sequential process, where key protein complexes and
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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at the intersection of multiple transitions. Focusing on actors’ collective strategizing, you will investigate how such tools can support dealing with the complexity of multiple transitions. You will adopt a
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develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent
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processing and reveal complex correlations, while human expertise remains essential for interpretation and ethical validation. Universities are chosen as the primary application field, for their role in
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experiments, work in the laboratory, and analyse complex microbial data independently Knowledge on agricultural systems and experience in field work English proficiency We consider experience in microbiome
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in field campaigns in Kenya, as well as dissemination and teaching activities. This PhD position is fully funded for 4 years. About the Wildbotics project: Wildbotics is a Marie-Curie Doctoral Network
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complex intercultural past. However, the cultural contribution of Aragonese Mudéjar and Morisco communities goes far beyond the monumental with particular forms of intangible cultural heritage. As a