Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
is replaced by multiple objectives or by satisfactory balance between different criteria. References [1] J. A. Bærentzen, J. Gravesen, F. Anton, and H. Aanæs, Guide to Computational Geometry Processing
-
this analysis is to try and predict whether two minima have a direct connection, and the next step would be to predict the corresponding transition state geometry. These capabilities are necessary to make
-
, they do not reach their full potential. Recently, through the use of Riemannian geometry, we proposed a nonparametric framework for change-point detection in manifold-valued data streams [1]. We applied
-
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
-
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
-
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
-
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
-
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
-
, differential geometry, partial differential equations, number theory, probability. Theory of Computing: all areas of theoretical computer science, especially algorithms and computa- tional complexity. Applied