Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- University of Lund
- Lunds universitet
- Karolinska Institutet (KI)
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Sveriges Lantbruksuniversitet
- Blekinge Institute of Technology
- Luleå tekniska universitet
- Mälardalen University
- Jönköping University
- KTH
- Luleå University of Technology
- Nature Careers
- Umeå universitet
- Umeå universitet stipendiemodul
- Göteborgs Universitet, Institution för kemi och molekylärbiologi
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Karlstad University
- Karlstads universitet
- Linköpings universitet
- Linnaeus University
- Luleå university of technology
- Lund University
- SLU
- University of Borås
- Örebro University
- 25 more »
- « less
-
Field
-
understanding as well as future functional materials. Your main responsibilities include designing and performing experiments at international large-scale facilities, analyzing complex neutron scattering datasets
-
Luleå University of Technology is established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low
-
of independence in the design and implementation of research. Good ability to collaborate within a research group. Significant practical experience of laboratory work using techniques that are relevant
-
, spanning from the investigation of surface plasmons and the design of nano-structured catalyst materials to density functional theory calculations to understand surface reactions and materials on an atomic
-
cutting-edge research by using its strong interdisciplinarity; it combines both experimental and theoretical expertise, spanning from the investigation of surface plasmons and the design of nano-structured
-
phase-matching regimes, design innovative gas targets and laser-driven generation geometries to increase XUV yield. Successful achievement of these goals promises to revolutionize XUV light generation in
-
designs will be developed for this purpose, including a millifluidic device. The work includes design and experimental studies of simple model systems as well as more applied studies. The applicant should
-
discriminant models Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analysing and discovering patterns in probability distributions in latent space. We are not accepting
-
to work on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal we have a variety of projects related to: Simulation, design and
-
assessed. These developments offer opportunities for pedagogical innovation, but they also raise fundamental questions about the relation between technology, learning and human agency. The proposed project