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degree in physics, informatics/computer science, electrical engineering or chemical process engineering. With more than 300 scientists, KCETA combines the research activities of the Karlsruhe Institute
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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in a larger research team and involves exchange visits with the partner universities in Prague and Vienna. Requirements: university degree in mathematics or computer science strong background in
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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journals Presenting results at scientific meetings Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field Knowledge of Density
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to scientific publications and project reports Your profile Completed university studies (Master/Diploma) in the field of Physics, Applied Mathematics, Computer Science, Computational Modeling and Simulation
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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, earth sciences, energy systems, or material sciences A master's degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science
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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung