280 algorithm-development "https:" "Simons Foundation" Postdoctoral research jobs in Sweden
Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Umeå University
- Uppsala universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- University of Lund
- Umeå universitet stipendiemodul
- Nature Careers
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå universitet
- Linköping University
- Lulea University of Technology
- Luleå tekniska universitet
- Sveriges Lantbruksuniversitet
- Chalmers tekniska högskola
- KTH
- Luleå University of Technology
- Örebro University
- IFM, Linköping University
- Mälardalen University
- SLU
- University of Borås
- University of Gothenburg
- Blekinge Institute of Technology
- Chalmers tekniska högskola AB
- Chalmers telniska högskola AB
- Göteborg Universitet
- Göteborgs universitet, Department of Marine Sciences
- Institutionen för växtskyddsbiologi
- Jönköping University
- Karlstads universitet
- Karolinska Institutet
- Linköping university
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet/Luleå University of Technology
- Lund University
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- chalmers tekniska högskola
- 33 more »
- « less
-
Field
-
Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project The project aims to develop hybrid quantum–classical approaches
-
development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
-
this project, we will develop new algorithms and computational schemes as well as further develop existing computational frameworks in the team. We will focus on two related frameworks in the project
-
targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
-
This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
-
research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent Surfaces, including both joint baseband processing and synchronization across
-
conducted implementations of algorithms and simulations using contemporary GPU hardware, or Profound knowledge and experience of the DUNE software environment (https://dune-project.org/ ) (knowledge and
-
Safe and efficient ice navigation supported by satellite data Join us at the Division of Geoscience and Remote Sensing and help advance knowledge about sea ice dynamics and develop the capability
-
Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
-
, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as