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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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, 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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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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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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questions working on the PhD project with its focus on multimodal multilane multiclass traffic flow modelling, dynamic lane allocation and signal optimization collaborating with the PhD in the partner
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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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to circular economies. As part of this mission, we are offering PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL‑DBE). The SDL‑DBE develops and applies multiscale models, AI-enhanced
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and networking. Eligibility and how to apply Candidates are eligible to apply for CAFE-BIO positions if they have an excellent first degree that qualifies for PhD study in physics, mathematics and
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planning methodologies and in mathematical optimization techniques We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and