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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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SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to markus.schmidtchen at tu-dresden.de or to: TU Dresden, Junior Professorship in Applied Mathematics, Jun.-Prof. Dr
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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
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an outstanding Master’s (or equivalent) degree in experimental life sciences, computational/mathematical/biophysical sciences, or a related field. We seek individuals with a strong interest in
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are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
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will be matched with PIs’ projects. Who can apply? We are looking for excellent candidates with a completed Master’s degree in various fields (Life Sciences, Bioinformatics, Mathematics, Physics
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-related concept proposed by Robert Zubrin) or the solar-wind ion focusing thruster. Starting from first-principles and mathematical models, more advanced numerical tools shall be developed to explore