Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Lund
- Chalmers University of Technology
- Nature Careers
- Linköping University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- Jönköping University
- Linnaeus University
- Mälardalen University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- Blekinge Institute of Technology
- Luleå University of Technology
- University of Borås
- 6 more »
- « less
-
Field
-
of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical
-
generation and attosecond physics Other skills, e.g. instrument programming, data analysis, vacuum technology, mechanical design Consideration will also be given to how the applicant’s experience and skills
-
are designed to deliver neuropeptides or RNA interference (RNAi) molecules to key osmoregulatory targets in pest species (e.g., beetles), reducing chemical pesticide usage while sparing beneficial insects
-
Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and
-
molecular questions in biological systems, and study biological and designed proteins using a combination of classical and advanced techniques including optical and NMR spectroscopy, surface plasmon resonance
-
project is led by Professor Tora Holmberg. The person who receives the position will be supervised by the project manager but work independently and has great opportunity to influence and design the project
-
and design nanostructures tailored for aerospace applications. About us The Division of Engineering Materials explores the relationship between technologically important materials and their properties
-
specifically, the position will involve dense research activities in the area of designing, experimenting and theoretical development with the following combined research areas linked with National, European and
-
sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration