Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Umeå University
- Uppsala universitet
- Chalmers tekniska högskola
- Lunds universitet
- Linköping University
- University of Lund
- SciLifeLab
- Umeå universitet
- Örebro University
- Linköpings universitet
- Luleå University of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- Luleå tekniska universitet
- University of Borås
- Blekinge Institute of Technology
- Chalmers tekniska högskola AB
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linkopings universitet
- Linköpings University
- Malmö universitet
- Mälardalen University
- Nature Careers
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 18 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
-
. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
-
graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
-
-exploiting optimization algorithms will be used to improve the performance of the numerical methods also for this class of problems. As postdoc, you will principally carry out research. A certain amount of
-
series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
-
wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
-
want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international
-
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