Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Lunds universitet
- SciLifeLab
- Umeå universitet
- KTH Royal Institute of Technology
- Linköping University
- Nature Careers
- Umeå universitet stipendiemodul
- University of Lund
- Örebro University
- Chalmers tekniska högskola
- Linköpings University
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- Lund University
- Sveriges Lantrbruksuniversitet
- Sveriges lantbruksuniversitet
- 13 more »
- « less
-
Field
-
-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
-
develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
-
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
-
, a PhD student, a research nurse, and several affiliated researchers and students. Our research spans the spectrum from epidemiological studies to analyses of cerebrospinal fluid, genetics, and protein
-
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
-
the spectrum from epidemiological studies to analyses of cerebrospinal fluid, genetics, and protein biochemistry related to Parkinson’s disease and other alpha-synucleinopathies. A major focus is on genetic and
-
knowledge and skills through interaction with their surrounding environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty
-
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
-
space)? What are appropriate descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)? What are appropriate algorithms
-
communications and networks Beamforming and MIMO algorithms Millimeter wave communications Terahertz band communications Visible light communications Channel modeling and/or interference modeling Beam tracking and