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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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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
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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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solutions that best promote their abilities. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance
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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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areas: Analysis of RNA sequencing and other omics datasets (bulk, single-cell, and/or long-read data) Programming and data analysis, particularly using Python and/or R Ability to work independently in a