Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Uppsala universitet
- Umeå University
- University of Lund
- Chalmers tekniska högskola
- Lunds universitet
- SciLifeLab
- Linköpings universitet
- Luleå University of Technology
- Umeå universitet
- Örebro University
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Linköping University
- University of Borås
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linkopings universitet
- Linköpings University
- Lulea University of Technology
- Malmö universitet
- Nature Careers
- 12 more »
- « less
-
Field
-
- integrating PET/CT images, radiology reports, and clinical data - to develop more accurate and trustworthy diagnostic tools. You will join a dynamic, interdisciplinary research group with extensive
-
environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty, physical constraints, scarce data, and high variability. In
-
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
-
, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and experience in deep learning and generative AI is considered
-
to explore cutting-edge multimodal AI - integrating PET/CT images, radiology reports, and clinical data - to develop more accurate and trustworthy diagnostic tools. You will join a dynamic
-
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
-
. The postdoc will contribute to the design and development of next-generation of Low Earth Orbit (LEO) satellite communication systems utilizing extremely-high-rate sub-terahertz (100 GHz – 300 GHz) spectrum
-
the European Regional Development Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals
-
as structured, accurate and persistent The following experience is of further merit: • Translational work and innovation • Development of algorithms • Administrative tasks • Work within a preGMP