Sort by
Refine Your Search
- 
                Category
- 
                Country
- 
                Employer- Forschungszentrum Jülich
- DAAD
- Nature Careers
- Universite de Moncton
- CNRS
- University of Newcastle
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- BARCELONA SUPERCOMPUTING CENTER
- Brunel University London
- European Magnetism Association EMA
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Leibniz
- Newcastle University;
- Queensland University of Technology
- Radboud University
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- University of A Coruña
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of East Anglia;
- VIB
- 13 more »
- « less
 
- 
                Field
- 
                
                
                Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting-edge Machine Learning applications on the Exascale computer JUPITER. Your work will... 
- 
                
                
                to the exploration of certain patterns related to combined AI/HPC workflows at large scales - You will collaborate with the application community to identify and specify "proxy applications" that are representative 
- 
                
                IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 20 days agoIT4Innovations National Supercomputing Center is a leading research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI 
- 
                
                
                supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint 
- 
                
                
                associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants 
- 
                
                
                HPC clusters. Experience of modern computational statistical methodologies, such as Markov chain Monte Carlo, rejection sampling, sequential Monte Carlo, would be highly desirable. Attributes and 
- 
                
                
                . Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands 
- 
                
                
                significatives de la consommation d'énergie, les plateformes de calcul haute performance (HPC) de nouvelle génération utilisées dans les applications d'apprentissage automatique, de big data et d'intelligence 
- 
                
                
                rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs 
- 
                
                
                Evidence of conducting independent, high-quality research High level problem solving and analytical skills Strong programming skills (R or C) Desirable Experience of using HPC clusters Experience of modern