Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Eindhoven University of Technology (TU/e)
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- Amsterdam UMC
- COFUND QuanG
- Fondazione Bruno Kessler
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Inria, the French national research institute for the digital sciences
- Linköping University
- Technical University of Denmark
- The University of Newcastle
- 4 more »
- « less
-
Field
-
of the proposed PhD are: (i) To investigate novel neural scene representation methods and their complementary with respect to conventional geometric methods (ii) To develop methods to decompose raw 3D scenes
-
modeling, geometric deep learning or physics-informed machine learning, or you are willing to learn these quickly; strong collaboration skills: you enjoy working in a multidisciplinary team and feel
-
velocity anomalies (Vp, Vp/Vs). These observations will be quantitatively compared with model predictions to test whether the system is dominated by the geometric interactions of the faults, the rheological
-
-fidelity modeling approaches combining simulations of different fidelity levels, ranging from RANS calculations to high-fidelity LES, possibly associated with various levels of geometric or physical
-
Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 8 hours ago
) in Geometric Deep Learning to join the Machine Learning and Artificial Intelligence (MLI) g roup to perform research in geometric deep learning for materials science. This research is part of
-
to investigate how cartilage microtissue growth dynamics, matrix composition, and (anisotropic) matrix architecture are influenced by the mechanical and geometric properties of their environment
-
advancements achieved with the LHC is the discovery of the Higgs boson by the ATLAS and CMS collaborations in 2012, providing crucial experimental verification of the Standard Model (SM) of particle physics
-
–Science research-creation project bringing together engineering, life sciences and design. This interdisciplinary framework will enable the candidate to develop innovative experimental models while engaging
-
” of novel stretchable structures by advancing numerical modelling, data-driven, and optimisation approaches in a nonlinear regime. Project Background Stretchable mechanical structures are a subset of
-
width: discrete frequency comb ver-sus continuous spectrum, and the presence or absence of spectral dispersion. Added to this are kinetic effects (electron trapping, plasma wave broadening) and geometric