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Essential qualifications A master's degree in Physics, Electrical Engineering, Chemistry, or a related field and the ability to design, execute, and troubleshoot complex experimental research. What we offer A
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and ability to make decisions, ability to work in a team and willingness to cooperate, willingness to learn Our Benefits Attractive and modern working environment with excellent infrastructure and state
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ecological changes might drive evolutionary processes, how large ecological systems adapt or not to rapid changes, what are the neural mechanisms underlying simple to complex behaviours, how do large animal
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
interest in nonequilibrium statistical physics and the physics of living systems across scales; Ability and desire to work in an international team on inter-disciplinary research topics; Good command
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
), Git/GitHub, and high-performance computing (HPC) environments is highly desirable. Strong analytical and quantitative problem-solving skills, with the ability to work independently while contributing
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to pursue a doctorate Ability to work independently and contribute effectively to an interdisciplinary and international research team Excellent written and spoken English Tasks Research and development
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and a strong interest in cognitive neuroscience, brain development, and/or learning. Excellent analytical and programming skills, the ability to work both independently and collaboratively, and
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, ability and professional performance. Your Application Please submit your application (preferably in English), including: CV Motivation letter (please specify the title of the position you are applying
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• Contribute to TWIN-X deliverables and present work internationally Your profile We seek a candidate with exceptional analytical ability, excellent academic performance, and a strong technical background
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the growing demand, in MINDnet will investigate neuromorphic computing as a promising solution to support such a demand by getting inspired by the brain’s powerful and energy-efficient processing capabilities