-
education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible
-
pathology, plant breeding, plant ecology or equivalent. Knowledge of statistics and experience in R is required. You should have the ability to work independently as well as in a team. You should be motivated
-
to work with tasks outlined above, she/he is expected to establish own initiatives to move the PhD project forward and to work well in a team. Advanced knowledge related to statistical analyses will be
-
. Advanced knowledge related to statistical analyses, an understanding about the Swedish food system and about behavioral approaches will be of merit. Personal merits will play a significant role in the
-
, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required. Interest and previous experience in developing mechanistic models coupling plants
-
how to use various statistical software applications for data analysis is required. Experience working with plants under field and greenhouse conditions, preferably including crossbreeding, is needed
-
testing of forest trees, measuring of growth and wood properties at the laboratory, and statistical analysis and programming. Previous experiences in forest related subjects are desirable. Fluent
-
the forestry sector is also considered a merit. The following competencies will be considered in the selection process: Experience in field studies and inventory Experience in data management and statistical
-
, techno-economic assessment, modelling of production systems) is a merit. In addition, elaborated skills in using relevant software (programs for modelling work, statistical analysis and LCA) are also
-
the project's field studies. The following qualifications/competences will be taken into account during selection: Field studies and inventory Data management and statistical analyses Write scientific text