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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Garching an der Alz, Bayern | Germany | 3 months ago
molecular biology and biochemistry laboratory techniques. Your tasks Reconstitute biomolecular complexes in vitro using molecular biology and biochemistry techniques Structurally characterize proteins and
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to gain insights into complex systems and inform decision-making Design and evaluate scenarios that focus on energy systems and structural change, assessing their potential impact Develop and evaluate
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The RTG 2767 aims to train a new generation of experts who will design materials made of supracolloidal structures from the drawing board to application in components. Supracolloidal structures
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of molecular and biological materials using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, and complex nano-structured
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, and complex nano-structured materials. For more information, visit
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and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. This 3-year position, part of
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 20 hours ago
University, Prague/CZ Institute of Low Temperature and Structure Research, Wroclaw/PL University of Wroclaw/PL Wroclaw University of Science and Technology/PL Teaching language English Languages 100% English
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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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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