Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Nature Careers
- Umeå University
- University of Lund
- SciLifeLab
- Linköping University
- Lulea University of Technology
- Linnaeus University
- Örebro University
- Karlstad University
- Mälardalen University
- Jönköping University
- The Royal Institute of Technology (KTH)
- Blekinge Institute of Technology
- 5 more »
- « less
-
Field
-
: Växjö, Sweden. Hours and term: Two (2) year position. Extent is 100% Starting date: The position is available as soon as possible Job description Your work as a postdoctoral researcher will primarily
-
abundant side streams into high-value bio-based materials, contributing directly to the circular bioeconomy. You’ll work with cutting-edge bioprocessing tools, collaborate with leading European partners, and
-
strong international research environment working with applied agroecological research. About the position Diversification of the cropping system increases resource use efficiency and reduces the need
-
Exciting postdoc opportunity in integrating bioelectronic technologies in plant science. Work assignments Are you passionate about addressing climate change and enhancing agricultural productivity
-
application! We are now looking to appoint a postdoc in the field of psychiatric neuroscience, formally based at the Center for Social and Affective Neurscience. Work assignments We study the role amygdala
-
THIS POSITION is based at the SoftiMAX beamline, part of the Imaging group at MAX IV, which encompasses 12-15 people (post-docs, engineers, scientists). Their main task is to aid research and
-
total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description Due to
-
. Your research can contribute to improving early evaluation of timber quality and promoting sustainable forest management. Take the opportunity to be part of this groundbreaking project! About the
-
design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area
-
on the development of self-sensing fiber-reinforced cementitious composites (SS-FRCMs) for the dual purpose of structural strengthening and real-time health monitoring of infrastructure. The research is structured