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Field
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 7 days ago
of Biological Networks at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany). Our group develops computational methods and tools for analyzing and redesigning
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to unravel the complexity of chemical communication that occurs in nature. PhD Project: Decoding symbiont establishment through systems modeling and multi-omics integration Supervisors: Dr. Mariana Galvão
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for Molecular Pharmacology on fluorochemical issues. The scientific objectives are to understand and control the complex interactions that can emanate from fluorinated structural units in chemical systems
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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- MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Professor Volkhard Kempf About the network StraDiVarious (Strains, Diagnostics and Variants
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: “Neurocognitive assessment and brain changes in postmenopausal women”. The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full
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for Molecular Pharmacology on fluorochemical issues. The scientific objectives are to understand and control the complex interactions that can emanate from fluorinated structural units in chemical systems
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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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basic research neurobiology lab at the Free University in Berlin Germany. The main focus of the lab is the study of how genomic information 'unfolds' to develop neural networks with remarkable information