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facing science, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working
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for the region, the nation, and the world. The Supply Chain Activation Network (SCAN) subcomponent works to expand the participation of new and existing businesses in the region as suppliers to the semiconductor
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 5 hours ago
) Scientific and professional mentoring, strong support for personal career development, and access to trainings, networking opportunities, and other resources provided by the Max Planck Society Opportunities
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on the networked interactions between stakeholders in regional innovation ecosystems and assessing effects of interventions in such networks. We are interested in understanding the role of stakeholders in the set-up
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associate to support an ethical, legal, and social implications (ELSI) analysis of the NSF funded study “Integrating Human-Derived Neural Networks and AI for Information Processing in Brain Organoids” under
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of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
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-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for Two Postdocs in
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, with particular emphasis on smart mobility and urban transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for