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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
topology techniques —with a view towards open problems in the life sciences. The position is based in Daniela Egas Santander’s group on Algebraic Topology and Networks in Biology, with the opportunity
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publication record, commensurate with experience, and a strong background in at least two of the following areas: Hopf algebras, quantum affine algebras, algebraic Lie Theory, number theoretical aspects
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through publications in relevant journals; solid quantitative/statistical background (e.g., probability theory, linear algebra, optimization) Strong expertise in at least one of the following areas, with
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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of linear algebra and numerical optimization Understanding of statistical modeling and inverse problems is desirable Experience with programming languages like Python, MATLAB, or C++ Joy in dealing with