Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköping University
- Umeå University
- Uppsala universitet
- Lunds universitet
- Chalmers tekniska högskola
- SciLifeLab
- Linköpings universitet
- Lulea University of Technology
- Umeå universitet
- Örebro University
- KTH
- University of Borås
- University of Lund
- Blekinge Institute of Technology
- 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
- 14 more »
- « less
-
Field
-
. The current position deals with free-space optical transmission experiments. It will involve challeges with low SNR, atmospheric turbulence issues, coherent recevers and related signal processing algorithms
-
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
-
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
-
to the application deadline Experience from sea ice field work or polar expeditions Experience in work with oceanographic or meteorological data and models What you will do Apply, validate and improve algorithms
-
). 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
-
knowledge of collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals
-
, system-wide efficient, as well as fair for heterogeneous participants. Addressing these challenges requires new mathematical models and algorithms that blend optimization, game theory, and control with
-
transmission experiments. It will involve challeges with low SNR, atmospheric turbulence issues, coherent recevers and related signal processing algorithms. While we have a state of the art fiber optic
-
algorithms that support hierarchical levels of detail. The theoretical component includes convergence and error bounds for refinement, conditions for topological validity, robustness to noisy measurements, and