Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Imperial College London
- Susquehanna International Group
- University of Texas at Austin
- ;
- Brno University of Technology
- CNRS
- CSIRO
- Carl von Ossietzky Universität Oldenburg
- DAAD
- Heraeus Covantics
- Leibniz
- McGill University
- National Renewable Energy Laboratory NREL
- Nature Careers
- University of Antwerp
- University of Florida
- University of Glasgow
- University of Luxembourg
- University of Minnesota
- University of Minnesota Twin Cities
- 11 more »
- « less
-
Field
-
ambitious new project on the safe deployment of medical imaging AI. The purpose of the role is to conduct world-leading research on AI for medical imaging. The goal is to develop methodologies and
-
modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
-
data Development of algorithms for infection and evaluation of infection hotspots in the plant population Coordination of the scientific interface to the project partners with regard to entomological
-
hierarchies during cardiac, endothelial and hematopoietic development. Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene
-
solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
-
the Research Group “Stochastic Algorithms and Nonparametric Statistics” in the project „SFB/Transregio 388“ SFB/Transregio 388 investigates the interplay between rough analysis and stochastic dynamics. Central