Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Lunds universitet
- Chalmers tekniska högskola
- Umeå University
- University of Lund
- Karolinska Institutet (KI)
- Linköping University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- Linnaeus University
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- Umeå universitet stipendiemodul
- Högskolan Väst
- Jönköping University
- Linköpings universitet
- Lund University
- Nature Careers
- University of Gothenburg
- chalmers tekniska högskola
- Chalmers
- Chalmers te
- Chalmers telniska högskola AB
- Göteborgs universitet
- KTH
- Karlstad University
- Karlstads universitet
- Linköping university
- Linköpings University
- Linneuniversitetet
- Mälardalen University
- Mälardalens universitet
- SciLifeLab
- Stockholms universitet
- Sveriges Lantrbruksuniversitet
- University of Borås
- Örebro University
- 30 more »
- « less
-
Field
-
the project at cordis . As overall challenging objective the project targets to design materials that will be biobased, biodegradable, compostable, recyclable and suitable for food contact applications
-
the opportunity of further development. This postdoctoral position will have the main task in design and perform experiments in the topic of aluminum/steam combustion, especially in developing advanced optical
-
for molecular dynamics (MD), slashing computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with
-
to the planning, design, management and vegetation of landscapes in urban and rural environments, in Sweden and internationally. The subject group Landscape Governance and Management (LGM) has a specific focus on
-
. The following merits will place the candidate at an advantage: experience of working with acidophilic microorganisms, treatment of wastes, bioreactor design, and bioprocess engineering. In addition, a
-
, critical in the design of plasma confinement devices. Modus operandi in the project is to make progress on these difficult question via structure-preserving numerical methods (cf. "matrix hydrodynamics
-
amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
-
future electronic technologies. The effort will be part of the EU-project AttoSwitch. More on AttoSwitch (attoswitch.eu). Detailed description of the work duties, such as: Device design and layout. DC
-
candidate with an interest in the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured
-
the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as