Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- University of South-Eastern Norway
- UiT The Arctic University of Norway
- Nature Careers
- University of Agder
- Western Norway University of Applied Sciences
- ; University of Oxford
- Norwegian Center for Violence and Trauma Stress Studies
- Norwegian Meteorological Institute
- The Norwegian Polar Institute
- The Norwegian School of Sport Sciences
- UNIS
- University of Inland Norway
- 5 more »
- « less
-
Field
-
Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside of the EU/EEA-area and who do not have English as a native language, must document
-
the doctoral thesis being approved. Strong quantitative and computational skills are required for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background
-
strong analytical and problem-solving skills, and be proficient in Python and familiar with relevant programming frameworks and tools. Fluent oral and written communication skills in English The evaluation
-
Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside of the EU/EEA-area and who do not have English as a native language, must document
-
, bioinformatics, or computational biology. Proficiency in programming and scripting languages (e.g., Python, R, Matlab). Experience with data processing, large-scale genomic and neuroimaging data, and statistical
-
. 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
-
for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python
-
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
-
Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside of the EU/EEA-area and who do not have English as a native language, must document
-
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