Sort by
Refine Your Search
-
Category
-
Employer
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Sveriges Lantbruksuniversitet
- Chalmers University of Technology
- Chalmers tekniska högskola
- Linköping University
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Luleå University of Technology
- Luleå tekniska universitet
- Lunds universitet
- Mälardalen University
- Mälardalens universitet
- Nature Careers
- SciLifeLab
- Swedish University of Agricultural Sciences (SLU)
- Umeå University
- 7 more »
- « less
-
Field
-
of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
-
Python and Fortran/C. Strong collaborative skills, drive, and independence. Experience and expertise that demonstrate potential to complement and strengthen ongoing research within the department and
-
, experience with programming in MATLAB, Python, or similar for data analysis is highly valued. Great emphasis is put on personal qualities such as the ability to independently plan and carry out work. You have
-
, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
-
or habitats knowledge of data analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity
-
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
-
(or equivalent) in Computer Science, Statistics, Ecology, Biology or Forestry. · Documented experience with application of deep learning and advanced statistical analysis and programming (e.g., R or Python
-
R and/or python. Familiarity with biodiversity assessments, aquatic ecology, boreal forest ecology, and forest management. Ability to work both independently and in collaborative teams. Field work
-
, Python, C etc. Field work Driver's license level B Great emphasis is placed on personal qualities such as team work, analytical and problem solving ability, ability to work independently. Place of work
-
, forestry, bioinformatics, or a related field - Strong demonstrated interest in biodiversity, molecular methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work