Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet
- Institutionen för akvatiska resurser
- LInköpings universitet
- Linköpings universitet
- Lule university of technology
- Luleå university of technology
- Mälardalen University
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Uppsala universitet
- 3 more »
- « less
-
Field
-
that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
-
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
-
at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning
-
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
-
field measurements (e.g. related to soil–water processes or geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include
-
. 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
-
and 3D electromagnetic simulations is considered a significant advantage. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and
-
requirement. A very good command of the English language, both written and spoken, is a key requirement. Experience in Federated Learning, Computer Vision, Image Analysis, Mathematics, and Mathematical
-
well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and research in a broad range of areas, from