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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 4 days ago
for highly-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting
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and structural thinking Interest in analyzing water-energy interactions Enjoyment of modeling Fluent in written and spoken English, knowledge of German an advantage Our Offer: We work on the very latest
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obtain further academic qualification (usually PhD). The positions are embedded in the activities of the project “Analyzing structure-property relations in equilibrium and non-equilibrium hyperuniform
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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10.01.2022, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d
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Description/content The primary objective of the course of study is the interdisciplinary advancement of young researchers in neurosciences. In the rapidly changing field of neurobiology, the danger
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the perspective of energy infrastructure. Using the existing energy system models of ICE-2, you will develop scenarios to analyze the effects on the German energy system and its robust design in a European context
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xenograft (PDX) models. To this end, the candidate will have direct access to cutting-edge mass spectrometry and advanced bioinformatics infrastructure. The project is part of the collaborative research
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the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
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, whereas the integrated track is the structured doctoral model that, with regard to the interdisciplinary scope, is designed to allow completion of the doctoral project within a time frame of three years