Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- University of Lund
- SciLifeLab
- Umeå University
- Lunds universitet
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Chalmers University of Technology
- Örebro University
- Chalmers tekniska högskola
- Linköping University
- Umeå universitet
- Linköpings universitet
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- University of Borås
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linkopings universitet
- Linköpings University
- Malmö universitet
- Nature Careers
- Stockholms universitet
- Sveriges lantbruksuniversitet
- 16 more »
- « less
-
Field
-
settings and in quantum serverless computing environments. The work will range from theoretical and algorithmic development of compilation and scheduling techniques, through the design and implementation
-
techniques to model fluid turbulence, fusion plasmas (with a particular focus on inertial confinement fusion target design), and quantum circuit simulators. The work will range from algorithmic and theoretical
-
can take one of two directions depending on the expertise of the selected candidate: novel algorithm design, with advanced control, optimization and deep reinforcement learning; hardware-oriented
-
cutting-edge systems design, AI at the edge, optimization, and shaping future mobile networks, this is your chance to dive in. A strong focus will lie on the development of optimization algorithms
-
topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems, mathematical physics, mathematical statistics, number theory, numerical analysis
-
that yield valid statistical conclusions (inference) on causal effects when using machine learning algorithms and big datasets. The project is part of the research environment Stat4Reg (www.stat4reg.se ), and
-
principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major
-
experience in radar research, developing signal processing algorithms for long-range ultra-broadband Synthetic Aperture Radar systems and short-range FMCW systems. In recent years, breakthroughs in
-
at the Faculty of Engineering and contribute to cutting-edge research in radar systems. The radar group at BTH has extensive experience in radar research, developing signal processing algorithms for long-range
-
position in our Trapped Rydberg Ion Project. The candidate will contribute to cutting-edge research on trapped ion experiments, focusing on the implementation of fast quantum gates and quantum algorithms