Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- Nord University
- University of Oslo
- University of Bergen
- OsloMet
- Molde University College
- NHH Norwegian School of Economics
- NORCE
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- NTNU Norwegian University of Science and Technology
- Norwegian Meteorological Institute
- SINTEF
- Simula Metropolitan Center for Digital Engineering
- University of Oxford
- 5 more »
- « less
-
Field
-
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 en
-
well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
-
. Addressing housing-related health risks in the USA, Vietnam, Turkey, and Ecuador, the project integrates community engagement, data science, and computational modeling. The key objectives of ComDisp
-
computational modeling. The key objectives of ComDisp are: • Identifying and understanding housing, air quality, and respiratory health issues in each case study. • Linking climate change models to housing
-
Cookie-erklæringen var sist oppdatert 12.06.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan
-
oppdatert 02.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
-
datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
-
This PhD programme is interdisciplinary and recruits PhD candidates with different academic backgrounds. Application and admission requirements About the programme The Study of Professions is a
-
. The programme is characterized by methodological and theoretical diversity. The training component consists of 30 ECTS credits and will support the work you do in the research component (the thesis