Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Argonne
- CNRS
- California Institute of Technology
- Inria, the French national research institute for the digital sciences
- Nature Careers
- ;
- ; The University of Manchester
- Biology Centre CAS
- Brookhaven Lab
- CEA
- East Carolina University
- Forschungszentrum Jülich
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Denmark
- University of Glasgow
- AALTO UNIVERSITY
- California State University San Marcos
- Central China Normal University
- DAAD
- Duke University
- Ecole Centrale de Nantes
- Ecole Nationale Supérieure des Mines de Saint Etienne
- Ecole de l'air et de l'espace
- Harvard University
- Humboldt-Stiftung Foundation
- IMT Atlantique
- IMT Atlantique (Nantes)
- INSA de LYON
- Institut Charles Sadron (CNRS/Université de Strasbourg)
- Instituto Superior Técnico
- KU Leuven
- Los Alamos National Laboratory
- ONERA
- Oak Ridge National Laboratory
- SciLifeLab
- Simons Foundation/Flatiron Institute
- Texas A&M University
- Télécom Paris
- Universidad Carlos III de Madrid
- University of California
- University of Canterbury
- University of Colorado
- University of Gdansk
- University of Houston Central Campus
- University of Kansas
- University of Lethbridge
- University of Luxembourg
- University of Massachusetts
- University of Washington
- Université Grenoble Alpes
- Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes
- Université de Lille
- Virginia Tech
- 43 more »
- « less
-
Field
-
degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
-
documented experience in at least one and preferably more of the following areas: computational solid- and/or biomechanics; finite strain hype elasticity; finite element methods; numerical optimization methods
-
computational methods with a particular focus on deep learning and image analysis. The research is done in close collaboration with the BioImageInformatics Unit of SciLifeLab . SciLifeLab is a national resource
-
Martian meteorite falls using advanced correlative microscopy techniques. To determine if they are the same or different Methods We will use a correlative, big data approach that combines X-ray computed
-
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 and field
-
Professorship - Programme Information (PDF, 123 KB) Recently selected Humboldt Professors Our Alexander von Humboldt Professors for AI WANTED: Alexander von Humboldt Professors (female) The Alexander von Humboldt
-
, numerical optimization, numerical partial differential equations, and parallel computing. The Researcher will join a project developing parallel high-order meshing algorithms from medical images and parallel
-
lattice field theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging
-
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
-
necessary to improve the knowledge of the current state of the art of AI methods to analyze and validate the experimental signals with the theoretical models. In parallel, new models will have to be improved