Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- UiT The Arctic University of Norway
- University of Oslo
- BI Norwegian Business School
- NHH Norwegian School of Economics
- MF Norwegian School of Theology, Religion and Society
- Molde University College
- NILU
- NORCE
- Nord University
- Norwegian Institute of Science and Technology (NTNU)
- Norwegian Meteorological Institute
- Oslo National Academy of the Arts
- SINTEF
- The Norwegian School of Sport Sciences
- 9 more »
- « less
-
Field
-
), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
-
familiarity with laboratory methods, such as qPCR, immunohistochemistry and flow cytometry are required. Experience in use of omics tools and handling of big dataset as well as analysis of data using R software
-
statistical analysis and ecological data, preferably using R or related tools Good written and oral communication skills in English, and knowledge of a Scandinavian language will be an advantage In addition
-
profiling, and bioinformatic analysis. More about the position The main purpose of the fellowship is research training leading to the successful completion of a Ph.D. degree. The duration of the appointment
-
interest for good practice in programming, data management, and data analysis. Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society. Developing tasks
-
interest for good practice in programming, data management, and data analysis. Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society. Developing tasks
-
on quantitative analysis, design of algorithms, and proofs of algorithm properties. Importantly, the successful candidate has a strong interest in exploring both theoretical and practical aspects of differentially
-
at Museum of Cultural History. The tasks of the researcher include: analysis and revision of available data, based on materials in the Runic Archives at Museum of Cultural History and existing digital
-
, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology
-
relevant topics as the research topic rests heavily on quantitative analysis, design of algorithms, and proofs of algorithm properties. Importantly, the successful candidate has a strong interest in