60 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at University of Bergen in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Migration and Mobility (relates to Pro-Climate), Welfare, Inequality and the Life Course and Work, Knowledge, Economy and Education. For further information see: https://www.uib.no/en/sosio/143577/research
-
CoCreative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. The appointed candidate will
-
mishmash.no for more information. The appointed candidate will join MishMash’s Work Package 2: AI in Artistic Processes and will work closely with WP2 leader Dr. Budhaditya Chattopadhyay, as well as with
-
incorporating the symmetries and geometric structure underlying the data. This framework allows one to work effectively with data defined on domains that possess intrinsic shape or symmetry, such as articulated
-
financing by the University of Bergen. About the project/work tasks The fellow will be part of the existing research community at Statistics and Data science group. The research project for the fellowship
-
a vacancy for a PhD position at the Department of Information and Media Studies. The position is for a fixed-term period of 4 years, of which 25% will be dedicated to teaching, supervision and
-
important to increase the resolution of tomographic models as this should give better insights into the Earth’s dynamics and history. Improving tomographic models requires innovative data processing and
-
tailored for implementing relevant research tasks will be provided, particularly including practices following the data management plan from the group. Access to high-performance computing facilities and
-
experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent) certification in animal welfare (e.g. FELASA), although training
-
for analysis (including wet-sieving sediment samples, picking foraminifera under a microscope, cleaning, and weighing) Scientific data analysis and interpretation, also possibly in collaboration with climate