Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Forschungszentrum Jülich
- Argonne
- CNRS
- California Institute of Technology
- Chalmers University of Technology
- Duke University
- Michigan State University
- UiT The Arctic University of Norway
- University of Glasgow
- University of Oslo
- University of Texas at Austin
- Aarhus University
- Blekinge Institute of Technology
- Brookhaven National Laboratory
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Cranfield University
- ETH Zurich
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Inria, the French national research institute for the digital sciences
- Lawrence Berkeley National Laboratory
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Macquarie University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- Swansea University;
- Tallinn University of Technology
- Umeå universitet stipendiemodul
- Universitaet Muenster
- University of Arkansas
- University of California Riverside
- University of Sheffield
- University of Southern Denmark
- Zintellect
- 28 more »
- « less
-
Field
-
associate in the broad areas of high performance computing and machine learning. HighZ is focused on developing scalable high order methods, enhanced with surrogate models for subscale physics, for modeling
-
developed to test rates of bioactivity under a range of environmental conditions. Methods A range of techniques will be used to investigate the multidisciplinary project aims. For example: Sample collection
-
tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
-
high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel computing. Together with our existing rich dataset, we will inform a soil-plant digital twin, enabling
-
advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms
-
Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | about 2 months ago
Calcul Scientifique) is a private research organization developing advanced methods for the numerical simulation and the algorithmic solution of large scientific and technological problems of interest
-
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 source code development
-
of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and
-
methods and data analytic strategies and their applications. The Magnetom Cima.X offers an unprecedented opportunity to be at the forefront of establishing an outstanding research program in multimodal
-
substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also