Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Swedish University of Agricultural Sciences
- University of Lund
- SciLifeLab
- Umeå University
- Chalmers tekniska högskola
- Linkopings universitet
- Linköping University
- Sveriges lantbruksuniversitet
- Umeå universitet
- Chalmers University of Technology
- Linköpings universitet
- Lunds universitet
- Mälardalen University
- Nature Careers
- Stockholm University
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences (SLU)
- Uppsala University
- 9 more »
- « less
-
Field
-
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
-
good English skills are necessary, both written and spoken. Other Meritorious Qualifications Particularly meritorious are previous research experience in biomarkers, statistical knowledge, and experience
-
good English skills are necessary, both written and spoken. Other Meritorious Qualifications Particularly meritorious are previous research experience in biomarkers, statistical knowledge, and experience
-
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
-
, economics, statistics, public health, or medical sciences, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth
-
, economics, statistics, public health, or medical sciences, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth
-
registers that can be used for population-based research, and a combination of these will be used for the project. The work includes literature reviews, database management, statistical modelling, and the
-
: Analyze spectroscopic and kinetic data, employ statistical and machine learning approaches where relevant, and contribute to manuscripts, presentations, and reports. Collaboration: Work closely with project
-
the field and in the lab) and developing scientific publications. We expect them to be pro-active and take own initiatives. Good numerical and statistical skills and some previous experience in molecular
-
processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have