Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Jönköping University
- Nature Careers
- Mälardalen University
- Blekinge Institute of Technology
- Linnaeus University
- University of Lund
- 2 more »
- « less
-
Field
-
equivalent knowledge in some other way, is required. More information about the general requirements can be found here . A student has special eligibility for doctoral studies in organic chemistry if s/he has
-
. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
-
information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Name of research project
-
Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
-
and experiences. We regard gender equality and diversity as a strength and an asset. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-yr initiative funded with
-
referees familiar with the applicant's qualifications certified knowledge of the English language if relevant, copies of scholarly publications More information about the English language requirements can be
-
. Applicants must meet specific English language proficiency requirements. For further information see: www.universityadmissions.se In the recruitment process we will put great emphasis on the candidate’s
-
failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
-
, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
-
family life. Ideals and practices related to work and family are compared across different countries, social groups within countries, and over time. The project is based on survey data. Eligibility To be