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-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and machine learning approaches. These are similar to earlier work
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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dynamics of the Earth’s interior. Email: Johannes.Buchen(at)uni-bayreuth.de Prof. Dr. Tomoo Katsura . Investigation of the structure, dynamics, and evolution of the Earth's mantle through experimental
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workflows for the analysis of the local structure in soft functional materials (semi-crystalline and amorphous materials) using electron diffraction and electron energy loss spectroscopy methodologies. You
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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Your Job: Modeling and characterization at molecular level of selected biological processes by performing classical molecular dynamics, and employing enhanced sampling methods and machine learning
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The INM research group Structure Formation is seeking for a motivated Doctoral Researcher interested in the self-assembly of nanoplatelets (NPLs) for optical applications. This PhD project is part
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 15 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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identify the fundamental structures and mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g. cutting-edge ab initio methods, atomistic simulation methods, multi
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | about 10 hours ago
, real-time imaging of virus infection dynamics, multiparametric flow-cytometry and single-cell transcriptomics to identify and optimize highly innovative antiviral vaccine concepts in collaboration with