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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Biocomplexity (LFPB), headed by Prof. Dr. Eberhard Bodenschatz, fosters a stimulating international research environment on active complex systems ranging from Biophysics to Fluid Dynamics. The research
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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Your Job: Develop techniques to simulate, control, and optimize the time-dependent dynamics for increasing system complexities Implement and optimize small quantum circuits on super- and semi
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focus on eye tracking Collaborating closely with partners from computer science (IAS-7, RWTH) Presenting your work at psychological and interdisciplinary conferences Publishing your findings in scientific
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Programme of the German Research Society (DFG). We closely collaborate with research groups at the department, the neighboring Fritz Haber Institute, and partners around the world. For more information see
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strengthen them. In particular, the successful candidate is invited to join the newly established Collaborative Research Center CRC 1720 “Analysis of criticality: from complex phenomena to models and estimates
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, ocean, marine ecosystem, and impact models of different complexity and will include both traditional and new ocean modelling approaches with the final objective of delivering: (i) coordinated and
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence
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consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research
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assessment of innovative climate services. The proposed methodology will employ high resolution regional Earth Systems, ocean, marine ecosystem, and impact models of different complexity and will include both