Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Lunds universitet
- Uppsala universitet
- KTH Royal Institute of Technology
- Lulea University of Technology
- SciLifeLab
- Umeå universitet stipendiemodul
- Linköping University
- Luleå tekniska universitet
- Nature Careers
- Umeå University
- Umeå universitet
- University of Lund
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Jönköping University
- Linnaeus University
- Linneuniversitetet
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 13 more »
- « less
-
Field
-
multimodal setups combined with XRD or XRF. Leveraging the high brilliance of the 3 GeV storage ring and an optimized beamline design, Balder enables time-resolved measurements with sub-second resolution
-
augmentation. This project is conducted at Lund University (LTH) in close collaboration with several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS
-
excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
-
propulsion concepts to the preliminary aerothermal design of novel turbomachinery components and heat-exchangers. We have a strong European network with major aircraft engines OEM’s and we collaborate with top
-
. Due to the interdisciplinary nature of the work, we are looking for a person with a background in performance engineering and high-performance computing hardware (high-performance CPUs and GPUs) as well
-
is a strong characteristic of our project portfolio, both with large companies and SMEs. The main research focus is on developing high-performance metallic materials that are resistant to burning
-
Assist with the day-to-day operation of the solid-liquid endstation at HIPPIE Support other postdoctoral researchers and PhD students associated with the APXPS group. Participate in occasional beamtimes
-
with large-scale neuroimaging and multimodal datasets. You will design and conduct neuroimaging analyses, coordinate data processing pipelines, and perform advanced statistical and computational analyses
-
learning-based control within a collaborative and dynamic environment. About us At the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and
-
in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates for sensing in complex