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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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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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academic qualification (usually PhD). Tasks: independent, curiosity-driven basic scientific research on fundamental mathematical optimization problems in the fields of machine learning and image analysis
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Algebra, the Chair of Algebra and Discrete Structures offers two positions as Research Associate
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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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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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and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762
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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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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational
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(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and