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a unique opportunity to contribute to cutting-edge research on remote robotic control under network uncertainties, focusing on the development of fault-tolerant and adaptive control architectures
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, and industry partnerships, as well as global networks, we translate biological insights into innovations for early detection, individualized therapies, and disease prevention. Founded in 1992, the Max
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spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work Targeted services for international employees, e.g. through our International Advisory Service
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
research profile and as part of the European YUFE network, we take on social responsibility in the region, in Europe, and in the world. The University is family-friendly, diverse, and sees itself as an
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research campus. NETWORKING: Participate in (international) conferences and project meetings FLEXIBILITY: Flexible working time models, including options close to full-time ( go.fzj.de/near-full-time
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INFRASTRUCTURE: Enjoy excellent scientific and technical infrastructure — both within the group and across the entire research campus. NETWORKING: Participate in (international) conferences and project meetings
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is embedded in the Beutenberg Campus , an interdisciplinary base for innovative research A position integrated in the FLI Postdoc Circle , a network connecting FLI postdocs and supporting career
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Sequencing; our work is embedded in the Beutenberg Campus , an interdisciplinary base for innovative research A position integrated in the FLI Postdoc Circle , a network connecting FLI postdocs and supporting
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | about 1 month ago
management, scientific writing, acquisition of third-party funding) Networking opportunities at national and international conferences Cooperation with science and industry Opportunities for external training
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questions in the areas of self-supervised/label-efficient learning and explainability of deep neural networks (XAI) are being developed, particularly for use in biomedical applications. Further information