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„Research for a life without cancer“ is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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. Our research will help safely design and operate satellites and maintain ground networks. In our research, we try to bridge our theoretical studies with high-performance computing to develop tools
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have performed such studies for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will work with generating signals within the domain
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
satellites and maintain ground networks. We try to bridge our theoretical studies with high-performance tools that can be used in science, predictions, and applications. The project "Waves in the lnner
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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, The ability to perform effectively as a part of a team. Please include a list of publications, and be specific about your OpenFoam experience in your uploaded CV. Who we are You will be a member of the Heat and
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design, development, and experimental validation of high-performance fuel cell materials. Your focus will be on optimizing electrode and membrane materials to improve reaction kinetics, structural
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was originally developed to simulate water and solute transport in roots, part of this task will be to introduce gaseous transport of water and CO2, and transitory starch pools. Model development will be performed
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-cell sequencing) Prior experience working with spatial biology approaches, and early-adoption of cutting-edge technologies Prior experience working with Linux and high performance clusters (HPC) R/Python