22 master-"https:" "https:" "https:" "https:" "UCL" positions at Umeå universitet in Sweden
Sort by
Refine Your Search
-
group and Responsible Artificial Intelligence group at the Department of Computing Science. More info about the research groups: https://www.umu.se/en/department-of-computing-science/research/research
-
employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial
-
several forms, including areal data, geostatistical measurements of continuous fields, and point pattern data. In point pattern data, the primary information consists of the locations of events observed
-
, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
-
on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396 ). The employment is fulltime for three years. The deadline
-
of the research plan and its relevance for the subject area. The assessment is also based on references and interviews, and additional possible evaluations of the main candidates. The degree must be completed
-
plan and its relevance for the subject area. The assessment is also based on references and interviews, and additional possible evaluations of the main candidates. The degree must be completed
-
given to essays, and the quality of the research plan and its relevance for the subject area. The assessment is also based on references and interviews, and additional possible evaluations of the main
-
dots. We will explore the potential of these sustainable luminescent nanomaterials as color-converting layers in light-emitting devices and in other advanced optoelectronic applications. Our primary task
-
at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models