Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
-Reflective Sensor Oculography (PSOG), addressing calibration and cross-user generalization challenges through the use of hypernetworks. PSOG signals are highly sensitive to geometric, anatomical, and
-
parametric winglet geometry model. The developed tool is meant to be able to generate winglet shapes, for a given wing planform, using a set of geometric parameters, which can be incorporated in
-
of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
-
Omer Ben-Neria Logic, set theory Shai Evra Graph theory, representation theory, number theory Adi Glucksam Complex analysis, potential theory, and dynamics Or Hershkovits Geometric analysis
-
incorporate it into mathematical models of trait evolution across phylogenies. The work combines dimensionality reduction and geometric data analysis with the development of statistically rigorous comparative
-
. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data. There is substantial freedom
-
variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data. There is substantial
-
fellow in PHYsics-based modelling towards Geometric Algebra Transformers for ISAC. This exciting role will require the successful candidate to develop a physics-informed framework for reconstructing
-
novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg