Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Umeå University
- Chalmers University of Technology
- SciLifeLab
- Linköping University
- Sveriges lantbruksuniversitet
- Jönköping University
- Mälardalen University
- Uppsala universitet
- Linnaeus University
- Luleå University of Technology
- Lunds universitet
- Nature Careers
- Umeå universitet
- University of Lund
- 6 more »
- « less
-
Field
-
focuses on the development of novel fluorinated amino acids as a 19F-NMR probe to study protein dynamics and protein-ligand interaction to facilitate drug discovery. It is financed by SciLifeLab, and hence
-
of focus are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot
-
experience of programming (e.g., Python, C#, C++). Ability in teamwork and to work both independently and in groups. English language proficiency. Personal characteristics such as structured approach
-
’ ecological interactions. The unit holds a long and internationally well-reputed history of performing research on ecology and evolution of plant-insect interactions. Read more about our benefits and what it is
-
development in plant genetics and plant breeding. You enjoy working both independently and in a team, and have a good ability to structure your work. Place of work: Alnarp Forms for funding or employment
-
, it is crucial to evaluate whether increasing broadleaf stands effectively enhances biodiversity and how these effects vary with landscape context. Additionally, the interaction of forest composition
-
biodiversity and how these effects vary with landscape context. Additionally, the interaction of forest composition at stand and landscape scales in shaping species communities is not well understood. Advances
-
creativity, thoroughness, and a structured approach to problem-solving. Additional qualifications Experience and courses in one or more subjects are valued: estimation theory, statistical machine learning
-
. Position description Construction industry is one of the biggest contributors to waste and carbon emission and this sector is at a crossroads. Unless major changes, the industry risks failing to meet the
-
development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute