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are committed to excellence in research, education, and comprehensive healthcare across our clinics. Every day, our team of approximately 16,100 dedicated employees works to make the world a healthier place. Our
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At the Max Planck Institute for Human Development, we study how and why people develop differently over the course of their lives, and how physical, societal, and technological aspects
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are committed to excellence in research, education, and comprehensive healthcare across our clinics. Every day, our team of approximately 16,100 dedicated employees works to make the world a healthier place. Our
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climate. In addition, the successful candidate uses the model chain to develop stress tests, assess the effectiveness of specific risk-reduction measures, develop maps of compound flooding, and provide
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
., finite element simulation, crystal plasticity modeling, analytical/semi-empirical hardening models, or data-driven analysis methods, along with a demonstrated ability to independently develop new
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? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Max Planck Institute for Human Development, we study how and why people develop
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, analytical/semi-empirical hardening models, or data-driven analysis methods, along with a demonstrated ability to independently develop new methodological approaches # Experience with, or strong interest in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
or international research programmes for scientific, policy, and stakeholder purposes, and support data flows into Copernicus Arctic Hub, EMODnet, GBIF/OBIS, PANGAEA and other polar data repositories Prepare
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM