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of Europe’s biggest research centers and help us to shape change! Are you eager to pursue a four-year doctoral project that bridges scientific disciplines? Are you excited by complex societal challenges
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of Europe’s biggest research centers and help us to shape change! Are you eager to pursue a four-year doctoral project that bridges scientific disciplines? Are you excited by complex societal challenges
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design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together
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of more than 6 billion euros, the Helmholtz Association is Germany’s largest scientific organization. The name Helmholtz stands for concerted research, in which networks form the key principle behind inquiring
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memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear dynamics of these devices to perform complex learning tasks with extreme energy
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 7 hours ago
signals perceived, and how is information transmitted and integrated to ensure plant health, survival, biomass acquisition and seed formation? How can we manage, analyse and integrate complex, large-scale
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1 November 2025 to 31 October 2028. Who we are: The Independent Research Group Receptor Biochemistry harnesses the complex interplay between proteases and receptors during plant-pathogen interactions
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Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network
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to gain insights into complex systems and inform decision-making Design and evaluate scenarios that focus on energy systems and structural change, assessing their potential impact Develop and evaluate
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning