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participating in an international research network linking seismology, geodesy, and climate sciences. Your responsibilities: Develop and test statistical and numerical earthquake forecast models for PSHA
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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-of-the-art facilities and our partners’ network Professional development in a dynamic and interdisciplinary research environment Opportunities for international collaboration and conference participation
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corporate culture by binding target agreements. The MPIDR collaborates with a network of local day-care centers that provides childcare places for the children of Institute staff. The Max Planck Society pays
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national and international network of leading climate and agricultural research institutes participation in user-driven research projects with international partners guidance and supervision in career
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
professional networking opportunities # Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | about 1 month ago
cooperation with the University of Mannheim and LMU Munich Excellent opportunities for scientific networking and qualification Flexible working hours and regulations for mobile working Very good conditions for
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with the benefits of an interdisciplinary institutional environment and collaboration with the Geoscience Department at Goethe University Frankfurt Access to an international network of scientists
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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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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