Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköping University
- Uppsala universitet
- Lunds universitet
- Umeå University
- SciLifeLab
- Linköpings universitet
- Lulea University of Technology
- Örebro University
- KTH
- Umeå universitet
- University of Borås
- University of Lund
- Blekinge Institute of Technology
- Chalmers tekniska högskola
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Jönköping University
- Karolinska Institutet (KI)
- Linkopings universitet
- Linköpings University
- Luleå University of Technology
- Malmö universitet
- Stockholms universitet
- Umeå universitet stipendiemodul
- 15 more »
- « less
-
Field
-
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
-
develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
-
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
-
execution of experiments, and discuss development of eg. user sample environments or analysis code for nanoprobe experiments As a scientist, you are ready to perform scientific research or nanoprobe method(s
-
). Completed courses in signal processing, radar or communication systems. Communication skills in Swedish are valuable, but not required. What you will do Develop radar signal processing and algorithms
-
research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
-
will work at the interface of rigorous mathematics, modern AI, and research‑grade software development, with results integrated into the DTCC Platform and validated on real city data in collaboration
-
The project is in the field of optimization, and in particular the project focuses on the design of approximation algorithms for multi-dimensional packing and scheduling problems. The position offers
-
the development of stochastic models for decentralized energy markets, decentralized and learning-enhanced market clearing algorithms, and fair-by-design pricing strategies. The research will address one or more of
-
and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic