Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- ; University of Oxford
- Nature Careers
- Norwegian Center for Violence and Trauma Stress Studies
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- The Norwegian Polar Institute
- UNIS
- University of Inland Norway
- University of Stavanger
- Østfold University College
- 6 more »
- « less
-
Field
-
Expertise in scientific computing, including proficiency in C++ or Python programming Fluent oral and written communication skills in English Desired qualifications: It will be an advantage that candidates
-
is also expected to re-implement historical narrative systems in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship
-
System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication
-
Experience with programming (for example Python), including the use of machine learning or any other AI technique Good oral and written presentation skills in Norwegian Personal characteristics To complete a
-
-photon characterization • Well-documented experience with processing in a clean room facility e.g. contact deposition techniques • Experience with data analysis using, e.g., Origin, Python or MatLab
-
, psychology, or equivalent statistical genetics expertise and hands-on experience with high performance computing and big data analysis skills in programming and scripting languages (R/Python/Matlab) excellent
-
) excellent English scientific writing skills proficiency in programming and scripting languages (e.g., R, Python and/or Matlab) experience with data processing and statistical analysis, including familiarity
-
UNIX/Linux interface and basic programming (e.g. Python) is a requirement. Experience with machine learning is an advantage. Experience from free energy calculations is an advantage. Applicants must be
-
. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured
-
using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes