26 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at University of Bergen
Sort by
Refine Your Search
-
, macroecology, remote sensing, landscape ecology, pollination, and landscape modelling, aimed at understanding the past, present and future of alpine and mountain environments worldwide. The precise research plan
-
degree has been awarded. A background in algebraic topology and Topological Data Analysis is required. Experience with scientific programming or algorithm development is an advantage. Applicants must be
-
is a requirement. Such experience may have been obtained through academic coursework, research projects, or professional employment. Experience with scientific programming using Python, R, Matlab
-
. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency in geospatial data analysis is an advantage. Applicants must be able to work independently and in a
-
the master's degree has been awarded Solid background in mathematics and physics is a requirement Experience in scientific programming (e.g., Matlab, Python) is requirement Experience in statistical analysis
-
the qualifying work including a progress plan. It is a requirement that the project is completed in the course of the period of employment. We can offer: A good and professionally stimulating working
-
condition of employment that the master's degree has been awarded. Experience with Python programming, the ability to work comfortably in the Unix/Linux environment, and handling large climate datasets in
-
his/her master’s thesis prior to the application deadline. It is a condition of employment that the master's degree has been awarded. Programming skills, e.g., Fortran or C++, is a requirement
-
, the completion of the project proposal for the qualifying work, as well as a progress plan, will be developed in cooperation with the supervisor and head of department. It is a requirement that the project is
-
events and in machine learning for the earth system is required Strong and demonstrated programming skills are required Prior experience with geospatial data analysis in Python, working on scientific HPC