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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 4 hours ago
topics it covers please contact Christian Dudel at dudel@demogr.mpg.de . The MPIDR is one of the leading demographic research centers in the world. It is part of the Max Planck Society , a network of 84
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The research group “Behavioral Neuroscience” focuses on decoding the exact mechanisms behind
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technology. Göttingen as a city of science is located in the center of Germany and the University Medical Center Göttingen is integrated into an attractive network of university and non-university scientific
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. STATE-OF-THE-ART INFRASTRUCTURE: Enjoy excellent scientific and technical infrastructure — both within the group and across the entire research campus. NETWORKING: Participate in (international
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the group and across the entire research campus. NETWORKING: Participate in (international) conferences and project meetings FLEXIBILITY: Flexible working time models, including options close to full-time
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the courage to try new things, in a supportive community, and in respect and appreciation for one another. With our study and research profile and as part of the European YUFE network, we assume social
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-house training (e.g. project management, scientific writing, writing project proposals) Networking opportunities at national and international conferences and in cooperation with national and
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machines into the cellular context in space and time, how stress factors influence these processes, and how the cellular network enables their robust functioning. Research Focus 3 Microbes providing
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, clustering, neural networks) for spectral interpretation, segmentation, and material identification. • Create and curate a dedicated HSI spectral library for cultural heritage materials, linking reference
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intelligently to make learning more sustainable and efficient, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer architectures. We invite