Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
mapping and structural data acquisition in field. - Geological 3D modelling. - Multiscale geological data analysis Experience working in crystalline basement terranes is considered a strong merit
-
. - Multiscale geological data analysis Experience working in crystalline basement terranes is considered a strong merit. Experience in geochronology is a merit. Experience from geological fieldwork in northern
-
dynamics and wall interaction phenomena Implement AI/ML models and multiscale coupling procedures to bridge the lattice Boltzmann codes with a two-fluid Eulerian macroscopic code Co-development of codes
-
multiscale modeling via machine learning force fields. This research will focus on applying a range of computational tools to realistic material systems, including interfaces and defects. This research will
-
of the MSCA Doctoral Network on Multiscale Frameworks for BioSolutions (FrameBio), we are looking for a motivated PhD Candidate with a strong background and interest in the field of industrial biotechnology
-
, Metabolic Engineering, Sustainability, Food Systems Offer Description MSCA Doctoral Network Building Predictive MultiScale Framework for Single Cell Protein BioSolutions (FrameBio) - HORIZON-MSCA-2024-DN-01
-
, United States of America [map ] Appl Deadline: (posted 2025/10/02 05:00 AM UnitedKingdomTime, listed until 2026/04/03 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Overview: The Multiscale
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
). Revisiting Ionosphere-Thermosphere Responses to Solar Wind Driving in Superstorms of November 2003 and 2004. J. Geophys. Res., 122. https://doi.org/10.1002/2017JA024542 . 2. McGranaghan, R. M., A. J. Mannucci
-
through high-dimensional latent space exploration. AI-Accelerated Multiphysics & Multiscale Solvers: Developing neural operators and hybrid AI integrators to bypass traditional computational bottlenecks in
-
the project “Novel unified multiscale predictive tool for gaseous microfluidic flows in Knudsen Pumps”, reference 2023.13693.PEX, funded by national funds (OE) through FCT, I.P., under the following conditions