Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Uppsala universitet
- University of Lund
- Linköping University
- SciLifeLab
- Sveriges Lantbruksuniversitet
- Umeå University
- Chalmers tekniska högskola
- Linkopings universitet
- Sveriges lantbruksuniversitet
- Umeå universitet
- Chalmers University of Technology
- Linköpings universitet
- Lunds universitet
- Mälardalen University
- Nature Careers
- Stockholm University
- 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
-
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
-
good English skills are necessary, both written and spoken. Other Meritorious Qualifications Particularly meritorious are previous research experience in biomarkers, statistical knowledge, and experience
-
issues in federated and decentralized learning systems. The aim is to develop novel methods for securing communication against passive and active adversaries, leveraging tools from statistical estimation
-
good English skills are necessary, both written and spoken. Other Meritorious Qualifications Particularly meritorious are previous research experience in biomarkers, statistical knowledge, and experience
-
to prognosis. The training emphasises study design and statistical analysis. Work duties and responsibilities The main tasks of a doctoral student are to devote themselves to their doctoral education and
-
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
-
remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring
-
analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
-
. The candidate's background should include courses in statistics and additional programming skills are preferred. The candidate must be intellectually flexible, a strong communicator and willing to work as part of a