15 data-mining PhD positions at Swedish University of Agricultural Sciences in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
species, in heterogenous forest and monocultures. The research approach make use of data from existing experiments, remote sensing and drone monitoring. In many cases the delivered models are supposed
-
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
-
references, and knowledge of English. More information about the English language requirements can be found here: https://www.slu.se/en/education/programmes-courses/doctoral-studies/application-admission
-
, production, stress, environmental factors and diseases. For more information about the department or division visit: https://www.slu.se/en/about-slu/organisation/departments/Animal-Biosciences/ Read more about
-
function of retained trees for lichens will be evaluated. This will be done by field studies, analyses of already collected data, and a meta-analysis of published studies. By working at Kopparfors, the Ph D
-
information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Name of research project
-
. Applicants must meet specific English language proficiency requirements. For further information see: www.universityadmissions.se In the recruitment process we will put great emphasis on the candidate’s
-
, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
-
referees familiar with the applicant's qualifications certified knowledge of the English language if relevant, copies of scholarly publications More information about the English language requirements can be
-
and transcript of records from previous first and second-cycle studies at a university or higher education institution, two personal references, and knowledge of English. More information about the