Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Lunds universitet
- Lulea University of Technology
- University of Lund
- Chalmers University of Technology
- Sveriges lantbruksuniversitet
- Mälardalen University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Luleå University of Technology
- Stockholms universitet
- University of Gothenburg
- Nature Careers
- Umeå universitet
- Fureho AB
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linkopings universitet
- Linköpings universitet
- Linnaeus University
- Mid Sweden University
- School of Business, Society and Engineering
- SciLifeLab
- Stockholm University
- 15 more »
- « less
-
Field
-
collaboration with the Materials Design Division (also at IFM) and with the Computer Vision Laboratory at the Department of Electrical Engineering (ISY), a world-class research environment specializing in
-
nanotechnology, with access to state-of-the-art instrumentation for HAADF-STEM imaging and in situ experiments. The project will be pursued in close collaboration with the Materials Design Division (also at IFM
-
processes can be further developed, and how both urban and built environments and buildings can be designed to better meet society's needs and wishes. The division has approximately 30 employees (teachers
-
based separation of blood from animal experiments experience of 3D-design in Fusion 360 and 3D-manufacturing of microfluidic systems experience of statsitical assessment of clinical chemistry data
-
enhance the translation of research into real-world applications. The 17 Doctoral candidates recruited for this international project will receive training at the forefront of research and innovation in
-
of Industrial Engineering and Management is a broad, interdisciplinary subject that spans several sub-areas ranging from organization and management, innovation and entrepreneurship as well as industrial and
-
) researches and develops knowledge about and innovative proposals for how planning processes can be further developed, and how both urban and built environments and buildings can be designed to better meet
-
combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
-
Required qualifications: PhD or equivalent documented research expertise in interdisciplinary environmental social science, or similar. Proven experience in qualitative research as well as a detailed plan to
-
innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and