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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong
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at the IMPRS-LM aim to dissect the spatial and temporal organization of biochemical networks in the cellular environment. The IMPRS-LM provides a unique graduate training program that equips students with
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very good results Knowledge in the fields of environmental economics, resource economics, economic theory, evolutionary economics or innovation economics are an asset You are enthusiastic about complex
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the development of scientific networks in an international environment of the Göttingen campus and beyond. GAUSS provides the organisational and regulatory umbrella for this programme. It was founded in 2005 by
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multidisciplinary and multisectoral project? INTROS is the project for you! Find below more information. About INTROS The INTROS project, a Marie Skłodowska Curie Action Industrial Doctorate network (MSCA-DN-ID), is
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
extension pending funding. Research topic: How do small brains solve the complex problem of navigation? Insects display a stunning variety of strategies: butterflies and moths migrate across continents
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(at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI development, especially with neural networks. Experience with standard software development tools (Git, CI/CD, IDEs
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to environmental cues. Innovation drivers include the development of advanced technologies and the full integration of complex computational approaches to answer relevant biological questions. To learn more about
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dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair