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Position: W2 tenure track professorship for Circuit Mechanisms of Behavior
Institution: Rheinische Friedrich-Wilhelms-Universität Bonn
Department: Medical Faculty
Location: Bonn, Nordrhein‐Westfalen, Germany
Duties: The ideal applicant has a deep interest in the connection between the structure and function of specific neural circuits and behavior, ideally in the mouse model system. The candidate should therefore have expertise in one or more of the following fields: i) Connectomic approaches that help to decipher the wiring diagram of CNS structures, ii) in-vivo recording approaches with cellular resolution in awake animals, and iii) complex behavioral paradigms in freely moving animals. In addition, due to the high complexity of all these data sets, there should be a high level of expertise in the application of mathematical methods. An interest in mechanisms of CNS disorders is desirable
Requirements: We are looking for a personality with outstanding scientific achievements and third-party funding as well as qualification in teaching. The future job holder should be prepared to engage with and integrate into the neuroscience community in Bonn, as well as to participate in existing or planned research networks, in particular SFB 1089 'Synaptic Micronetworks in Health and Disease&#039
   
Text: We are looking for a personality with outstanding scientific achievements and third-party funding as well as qualification in teaching. The future job holder should be prepared to engage with and integrate into the neuroscience community in Bonn, as well as to participate in existing or planned research networks, in particular SFB 1089 'Synaptic Micronetworks in Health and Disease'.We are looking for a personality with outstanding scientific achievements and third-party funding as well as qualification in teaching. The future job holder should be prepared to engage with and integrate into the neuroscience community in Bonn, as well as to participate in existing or planned research networks, in particular SFB 1089 'Synaptic Micronetworks in Health and Disease'.
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