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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 14 days ago
21 Aug 2025 Job Information Organisation/Company Leibniz-Institute for Plant Genetics and Crop Plant Research Research Field Agricultural sciences » Agronomics Agricultural sciences » Other
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materials and manufacturing processes, especially for the transportation sector and medical technology. To this end, materials are tailored and manufacturing processes are designed to conserve resources
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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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resume with professional and technical skills, and exploring the scientific and cultural diversity in Europe and North America? The graduate training program in Scalable 2D-Materials Architectures (2D
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
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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 oriented
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of XYZs, higher order perturbative calculations inside effective field theories. The particle and nuclear theory group at the TUM School of Natural science is lead by Prof. N. Brambilla and Prof. A. Vairo
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computational and theoretical physics/chemistry. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial