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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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Doctoral Network that aims to educate and train the new generation of Doctoral Candidates (DCs) capable of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH
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time, infrastructure networks reach capacity thresholds. Extending and upgrading infrastructure is challenging and limited not only because of long infrastructure lifetimes coupled with high investment
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical, and industry partnerships, as well as global networks
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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
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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facilities, the Senckenberg Natural History Museum. The mission of the Senckenberg Biodiversity and Climate Research Centre is to study the complex interactions between biodiversity and climate as
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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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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 23 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