Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- Lulea University of Technology
- SciLifeLab
- Sveriges lantbruksuniversitet
- Mälardalen University
- Nature Careers
- University of Lund
- Uppsala universitet
- KTH Royal Institute of Technology
- Linnaeus University
- Lunds universitet
- Stockholms universitet
- Umeå universitet
- 6 more »
- « less
-
Field
-
and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms
-
: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical thinking and quantitative analysis Ability to work independently, to take initiative and be
-
, biology (or related fields) with a focus on farm animal behaviour and welfare. interest and/or experience in animal behaviour, statistics, and computer-based data analysis. documented research experience
-
thinking and quantitative analysis Ability to work independently, to take initiative and be creative Ability and willingness to work collaboratively in a team, including with people of different nationality
-
data analysis, while contributing to fundamental questions in evolutionary biology. We welcome applicants with training in biology or related quantitative fields (mathematics/physics/computer science
-
in biology, ecology or forestry, with documented specialization in community ecology, bird or bat ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is
-
qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
-
ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS
-
efficiency, flexibility, and sustainability. Within this research project, Linköping University is collaborating with leading industrial companies to develop digital analysis and decision-support tools
-
animal behaviour, statistics, and computer-based data analysis. documented research experience with farm animals is an advantage. strong communication skills in English (spoken and written). As a person