Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- California Institute of Technology
- Inria, the French national research institute for the digital sciences
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- CNRS
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Oak Ridge National Laboratory
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- DTU Electro
- DURHAM UNIVERSITY
- Durham University
- Michigan State University
- Nanyang Technological University
- Technical University Of Denmark
- Technical University of Denmark
- University of California
- University of Glasgow
- University of Kansas
- Zintellect
- AI4I
- Aalborg University
- Brookhaven National Laboratory
- Center for Theoretical Physics PAS
- Central China Normal University
- Cranfield University
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); yesterday published
- Duke University
- ETH Zurich
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e); Eindhoven
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Lawrence Berkeley National Laboratory
- McGill University
- Simons Foundation/Flatiron Institute
- Swansea University;
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Aveiro
- University of Birmingham;
- University of California Davis
- University of California, Berkeley
- University of Cambridge;
- University of Canterbury
- University of Sheffield
- University of Southern California
- University of Southern California (USC)
- University of Southern Denmark
- University of Texas Rio Grande Valley
- University of Texas at Austin
- Université Côte d'Azur
- Université de Lorraine
- Virginia Tech
- Weizmann Institute of Science
- 47 more »
- « less
-
Field
-
evaluate numerical methods that combine low and high order formulations, and develop hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With the increasing complexity of numerical simulation codes, new
-
steady and transient state, at scales ranging from nanometres to millimetres. Develop numerical methods to capture droplets evaporative behavior accurately Compare and validate numerical results with
-
algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational
-
speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including analogous neural
-
Fall 2026. Knowledge of parallel programming and experience developing methods for 2D and 3D problems are critical. Experience working with open source software frameworks and/or using modern open
-
and tuning. Moderate research project experience training large-scale foundation models, especially pipeline/model parallelism. Track record of creating HPC software for numerical methods. Domain
-
the Numerical Analysis group at TU Delft. The group is internationally recognized for its contributions to iterative methods, numerical linear algebra, and parallel computing. The project will be carried out in
-
. Essential Job Duties Develops and applies high-resolution numerical models of flow, sediment transport, and morphodynamic processes at the West Bay Mississippi River delta. Conducts computational simulations
-
Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 7 days ago
an M2 degree (Engineering degree, MRes, or equivalent) in applied mathematics or computational mechanics. The candidate should have experience with numerical methods for PDEs, and should have good