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
- UNIS
- University of Inland Norway
- 4 more »
- « less
-
Field
-
following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside
-
in modelling using Matlab or Python. You have solid experience using process simulator AspenPlus or Hysys, and you have used them to simulate absorption processes. You have experience with absorption
-
. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework for Bayesian inference Documented experience with programming in either Python or R. Foreign completed
-
on MATLAB, Python, Julia, Javascript, DigiSilent Power Factory. Possesses a strong academic record, with relevant experience in either industry or academia, and can show experience from paper publishing. Has
-
handling of large-scale human genotype data (quality control, and polygenic analysis). Skills in programming and scripting languages (Python/R/Matlab). A strong command of oral and written English. It is an
-
, statistics or similar field. Experience in the following topics is required: Proficiency in scripting language (Python or R) and maintaining code repositories In-depth bioinformatics experience working with
-
, freely-behaving recording procedures, signal processing and data analyses Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R
-
variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
-
the master's degree has been awarded. The candidate must have good knowledge in atmospheric dynamics. Proficiency in scientific coding and data analysis (e.g., Python, MATLAB, R, C++, FORTRAN) is required
-
relevant for the research program outlined above with a strong background in nuclear structure physics of exotic nuclei Expertise in scientific computing, including proficiency in C++ or Python programming