Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Lund
- Chalmers University of Technology
- Nature Careers
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- SciLifeLab
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- Jönköping University
- Linnaeus University
- Mälardalen University
- Sveriges lantbruksuniversitet
- Umeå universitet stipendiemodul
- Luleå University of Technology
- University of Borås
- Lunds universitet
- Mid Sweden University
- NORDITA-Nordic Institute for Theoretical Physics
- Stockholms universitet
- Umeå universitet
- Uppsala universitet
- 13 more »
- « less
-
Field
-
curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
-
on the microscopic level translates into the function on a macroscopic level. Imaging biomolecules, together with trace elements, is vital in understanding complex processes, disease mechanisms, or the effects
-
to the engineering process, ensuring it is current and usable for informed decision-making in circular economy contexts. The research group studies how technology impacts organizations using mixed methods—both
-
Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in
-
duties may be involved within the framework of the position, but for not more than 20% of working hours. What we offer As a postdoc you are given an opportunity to develop your independence as a researcher
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
School of Engineering Sciences at KTH Job description The research project concerns the development and use of MINFLUX single-molecule microscopy for cellular imaging and dynamic studies
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
-
their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response