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Bremen

    Postdoc in Computational Neuroscience - Bremen, Deutschland - University of Bremen

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    Ganztags
    Beschreibung

    Stellenbeschreibung

    In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use

  • network modelling,
  • numerical simulation,
  • and mathematical analysis
  • to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility.

    These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work done in the lab of Prof. Dr. Andreas Kreiter, also at the University of Bremen. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas.

    Voraussetzungen

    Ideal candidates will have a PhD in computational neuroscience, physics, computer science or related fields. They must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and experience in programming (we use Python in our lab). Above all, you must be highly motivated, responsible, have a strong desire to learn and be able to work proactively in an international research environment. Fluency in English (both written and spoken) is required.

    The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. You will have the opportunity to link your research to a wide range of other topics being studied in our lab, such as collective dynamics in neural systems, information processing in deep spiking networks, and the development of visual cortex prostheses.



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