Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Lulea University of Technology
- Lunds universitet
- University of Lund
- Chalmers University of Technology
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Mälardalen University
- Stockholms universitet
- University of Gothenburg
- Luleå University of Technology
- 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
-
at the Faculty of Medicine is led by Professor Ulf Gerdtham and conducts research in five main areas: 1) Public health problems 2) Incentives and organization within healthcare 3) Design of healthcare systems in
-
piezo(electro)ceramic and electrochemical processes. The researcher will be responsible for designing and carrying out experiments aimed at understanding fundamental processes involved in solid-state
-
economic theory and quantitative methods as important methodological tools. Strong research areas at the department include economic growth and structural change, innovation, energy and sustainability
-
to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
-
. You will be able to shape your project to a significant extent, beginning with your research plan that is submitted as part of the application. Read more about our research profile areas below
-
primary duty of this position will be research within the subject area of lead-free piezo(electro)ceramic and electrochemical processes. The researcher will be responsible for designing and carrying out
-
and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
-
data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analyzing and discovering patterns in probability distributions in
-
, or possibly design or cognitive science as main subject) and one at Tema Technology and Social Change, will collaborate to jointly reach the objectives of the project. You are expected to closely collaborate
-
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