Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Uppsala universitet
- Lunds universitet
- Stockholms universitet
- Umeå universitet
- Karlstads universitet
- Karolinska Institutet, doctoral positions
- Lulea University of Technology
- Institutionen för akvatiska resurser
- Jönköping University
- LInköpings universitet
- Linköpings universitet
- Lule university of technology
- Luleå university of technology
- Mälardalen University
- Sveriges Lantbruksuniversitet
- The University of Gothenburg
- University of Lund
- 11 more »
- « less
-
Field
-
the research and teaching environment at the department, as well as in the everyday activities of the project, including reporting to FORMAS. More information about the project: https://portal.research.lu.se/en
-
Tomon. More information about Discrete Mathematics at Umeå University can be found on the group’s homepage: https://www.umu.se/en/research/groups/discrete-mathematics/ As a PhD student, you will be part
-
cent of full-time. Your qualifications You have graduated at Master’s level in Mathematics, Computer/Data Science, Computational Science and Engineering, or a related field, or completed courses with a
-
or current superior. Attach all the documents and publications you wish to be considered to the electronic application (do not just provide links). Name each uploaded document to clearly indicate its content
-
) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. We regularly
-
. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
-
qualifications You have graduated at Master’s level in Electronics Engineering or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses within the topic mentioned above
-
for the activation of inert organic substrates through single-electron logic. By uncovering overlooked reactivity manifolds enabled by electro- or photochemical methods, this interdisciplinary project will expand
-
work may also include teaching or other departmental duties, up to a maximum of 20 percent of full-time. Your qualifications You have graduated at Master’s level in Electronics Engineering or completed
-
equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious