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Field
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Postdoctoral Research Position in Cognitive Science (f/m/d) Stellen-ID: 2762 Facility: Department of Psychology Contact person: Herr Prof. Dr. Michael Waldmann [email protected]
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better, and use inspiration from knowledge-based approaches to improve general machine learning algorithms. You also have to help advise PhD candidates. You can apply for the SOFTWARE or the MATHEMATICS
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 6 days ago
applications for a two-year Postdoc, associated with the project "Evolution of Cognitive Tools for Quantification (QUANTA)", funded by the European Research Council with a Synergy Grant to Andrea Bender (UiB
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 7 days ago
applications for a two-year Postdoc, associated with the project "Evolution of Cognitive Tools for Quantification (QUANTA)", funded by the European Research Council with a Synergy Grant to Andrea Bender (UiB
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; Max Planck Institute for Human Cognitive and Brain Sciences | Leipzig, Sachsen | Germany | about 5 hours ago
The Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig (MPI CBS) is an internationally recognized research institute of the Max Planck Society and is dedicated to the study of
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to analyze animal behavior or fundamental cognitive functions and their neural mechanisms. Your profile Strong background in either machine learning (especially deep learning) and computer vision or
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university degree in physics or engineering with PhD or equivalent qualification; Knowledge in accelerator physics and experience in accelerator techniques and beam dynamics; Knowledge of SASE and seeded FEL
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good knowledge of International Relations linked to the research profile of the professorship - excellent command of quantitative and/or qualitative research methods as well as explanatory research
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international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The successful candidate will be part of a young
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, or similar fields Experience in the development of neuromorphic hardware implementations and a good overview of the field Knowledge of integrated CMOS circuit design is beneficial Ability to monitor and guide