Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Bergen
- NTNU Norwegian University of Science and Technology
- University of South-Eastern Norway
- University of Inland Norway
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Western Norway University of Applied Sciences
- NTNU - Norwegian University of Science and Technology
- Oslo University Hospital
- Oslo University Hospital (OUS)
- University of Agder
- 2 more »
- « less
-
Field
-
educational system Must document a strong quantitative background and interest in one or several remote sensing and data science approaches. Must document scientific programming skills, specifically for data
-
to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one
-
/optimization/programming software (e.g., HOMER, GAMS, and Python). Evidence of previous scientific writing or academic publications (e.g., peer-reviewed journals), industrial collaboration, knowledge transfer
-
data science approaches. Must document scientific programming skills, specifically for data processing and analysis of large datasets. Evidence of creativity and capability of independent research
-
Doctoral Network that prepares 15 doctoral candidates to transform how chronic inflammatory diseases are understood and treated. HARPNET’s scientific programme is integrated across three scientific work
-
quantitative skills are required. Experience and/or a strong interest in meteorology is an advantage. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency
-
Integreat provides a researcher training programme, INTREF - the Integreat Young Researchers’ Forum - a fellow driven initiative offering scientific training, transferable skills workshops, mentorship
-
7 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
-
mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
-
desirable. Experience with fluid–structure interaction (FSI) modelling is an additional advantage. Experience with scientific programming (e.g., Python, MATLAB, C++ , or similar languages) is advantageous