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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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at leading conferences and in leading journals tasks in teaching and academic self-administration Requirements: excellent university degree in mathematics, computer science, or physics extensive prior
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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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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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to such functions as movement, growth and regulation – emerge from interaction between their component parts. A distinctive feature of the CAFE-BIO programme is that a novel combination of modelling and analysis
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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
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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers