Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Chalmers tekniska högskola
- SciLifeLab
- Blekinge Institute of Technology
- Örebro University
- Chalmers tekniska högskola AB
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Mälardalen University
- Umeå University
- Umeå universitet
- University of Borås
- 7 more »
- « less
-
Field
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us for an exciting doctoral journey to create the future of chemical sensors
-
Join us for an exciting doctoral journey to create the future of chemical sensors! Imagine you could detect diseases right-away simply by measuring your breath. We are working at the interface
-
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
-
but also leverage it to enhance sensor performance. The PhD student will play a key role in advancing these new radar signal processing algorithms. Job description The PhD research will focus
-
deposition, its characterization and optimization. Design sensor layout and evaluate materials involved, from the standpoint of bio compatibility. Functionalize graphene devices, in collaboration with chemists
-
mindset and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund
-
of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
-
to pioneer novel research opportunities enabled by one of the brightest sources in the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal
-
Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
-
of novel neuro-inspired algorithms and their hardware realizations that can make future intelligent systems far more efficient and powerful. Today’s intelligent systems rely on massive datasets and large