Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- Sveriges Lantbruksuniversitet
- Mid Sweden University
- Uppsala universitet
- Chalmers University of Technology
- Jönköping University
- Karlstad University
- Karolinska Institutet, doctoral positions
- Lulea University of Technology
- Luleå university of technology
- Lunds universitet
- Nature Careers
- Umeå universitet
- 5 more »
- « less
-
Field
-
sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
-
28 Feb 2026 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Mathematics » Statistics Researcher Profile First Stage
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics
-
application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
-
applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Statistics at Umeå School of Business, Economics and Statistics (USBE) is looking for a PhD
-
graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
-
include teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have gratuated at Master’s level in machine learning, computer science, statistics, or a
-
of 20 per cent of full-time. Your qualifications You have gratuated at Master’s level in machine learning, computer science, statistics, or a related area that is considered relevant for the research
-
, computer science, mathematics, statistics, physics, or a related area that is considered relevant for the research topic of the project, or completed courses with a minimum of 240 credits, at least 60 of which must