262 algorithm-development-"https:" "Simons Foundation" Postdoctoral positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- Uppsala universitet
- Umeå University
- University of Lund
- Umeå universitet stipendiemodul
- SciLifeLab
- KTH Royal Institute of Technology
- Linköping University
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå universitet
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Jönköping University
- KTH
- Luleå University of Technology
- Luleå tekniska universitet
- Örebro University
- Blekinge Institute of Technology
- IFM, Linköping University
- Mälardalen University
- SLU
- University of Borås
- Chalmers tekniska högskola
- Chalmers telniska högskola AB
- Göteborg Universitet
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- Institutionen för växtskyddsbiologi
- Karlstads universitet
- Karolinska Institutet
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet/Luleå University of Technology
- Luleå university of technology
- Lund University
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Gothenburg
- 32 more »
- « less
-
Field
-
at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
-
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
-
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
-
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
-
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
-
, 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
-
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