Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- SciLifeLab
- Uppsala universitet
- Lunds universitet
- Chalmers University of Technology
- Karlstad University
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Lulea University of Technology
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- University of Lund
- Blekinge Institute of Technology
- Institutionen för molekylära vetenskaper
- Jönköping University
- Mälardalen University
- Nature Careers
- 9 more »
- « less
-
Field
-
observed across plant and animal species. The project combines experimental and computational approaches, making use of advanced techniques such as genomics, proteomics, genome editing and protein
-
Jönköping along Lake Vättern, JIBS offers a high-quality work environment combined with a lively urban atmosphere. The mid-sized city (approximately 100,000 inhabitants) provides affordable housing, numerous
-
combine your doctoral education at UCGS with being part of a dynamic, interdisciplinary doctoral student group and have access to national and international research networks. As a doctoral student in the
-
environment for postgraduate studies in educational sciences. You will combine your doctoral studies at the department with participation in a dynamic, interdisciplinary doctoral group and gain access
-
is characterized by a modern view of the statistical subject, where probabilistic models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view
-
Department of Forest Bioeconomy and Technology and Department of Forest Genetics and Plant Physiology This project invites you to combine genetics and data from real-world forestry to better
-
multiple species are essential. As a doctoral student in this project, you will investigate cell communication in these closely interacting microbial communities. By combining advanced anaerobic cultivation
-
will work in a wide range of projects. The projects collectively show how sustainable forestry research combines advanced monitoring tools, ecological studies, and genetic approaches. They range from
-
a modern view of the statistical subject, where probabilistic models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view of machine learning
-
ways of combining AI models from different hospitals (instead of just calculating the average model), as well as learning and propagating uncertainty in a federation. While the developed methods will be