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wide range of challenging topics such as (infinte dimensional) stochastic analysis, affine and polynomial processes, rough paths, signature methods, neural S(P)DEs, McKean-Vlaslov equations, stochastic
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Vienna University of Technology: Institute for Analysis and Scientific Computing | Austria | about 2 months ago
Computing at TU Wien, Austria. The topics of the positions are as follows: - 1 position for structure-preserving numerical schemes for chemotaxis compressible Navier-Stokes equations modeling vascular network
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doctorate in computer science or data science Know-How in communication and network technologies Experience in the field of energy networks is beneficial A track record in international cooperation and in
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coalescence, participating in the analysis of the data of the LIGO-Virgo-KAGRA gravitational waves observatories network. We have an interest in the search for intermediate-mass black holes and you are expected
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microscopy, etc.) Good international network in the scientific community Experience in knowledge transfer to society Ability to work in a team, communication skills, ability to work under pressure Experience