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Field
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rules in networks of complex spiking neuron models in the application field of geolocalization: Building up simulation model for networks of complex neurons with topologies close to neuroscience models
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the properties of composite, biological networks which consist of stiff filaments and liquid inclusions which arise from liquid-liquid phase separation. We will use a multi-scale approach bridging scales from
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building
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bioactive molecules and are key players in soil ecosystems. They undergo a complex developmental life cycle including growth as filamentous networks and formation of unicellular spores, making them a powerful
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Description The European Doctoral Network "A Coherent Analysis Framework for Emergence in Biological Systems" (CAFE-BIO) is looking to recruit 15 excellent Doctoral Candidates (DCs) at 12 leading
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. They undergo a complex developmental life cycle including growth as filamentous networks and formation of unicellular spores, making them a powerful model to study how coordinated, multicellular-like behaviours
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, chemists and physicists explores the spatial and temporal dynamics of biochemical networks within the cellular environment. The IMPRS-LM offers a unique, internationally recognized PhD training program
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Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network
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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and
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can support agency and social networks in higher education and workplace training. The group is part of the TUM School of Social Sciences and Technology, the Munich Data Science Institute, and the TUM