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major challenge with dynamic structured data is finding representations that can effectively handle their underlying geometry, which is often defined by application-specific pseudo-distances. A common
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of machine learning models to integrate structural data, binding geometries, and cell surface topology. Mapping and prediction of epitope combinations enabling optimal immune synapse formation for ICE and
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Engineering nuclear envelope geometries to probe lipid chemistry-function relationships Romanauska & Köhler, Nature Cell Biol. 2023 What We Offer Two fully funded, full-time postdoctoral positions Possibility
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you an excellent candidate for our faculty. We are now seeking outstanding candidates in all areas below: · Mathematics: Computational and applied mathematics; probability and stochastic analysis; data
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find a unified representation for the two modalities that allow an effective fusion. A large body of work simply projects LiDAR points to images using projective geometry (e.g.,[5, 6]) and uses the image
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, differential geometry, partial differential equations, number theory, probability. Theory of Computing: all areas of theoretical computer science, especially algorithms and computa- tional complexity. Applied