Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- OsloMet
- UiT The Arctic University of Norway
- University of Agder
- University of Bergen
- University of South-Eastern Norway
- University of Stavanger
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- OsloMet – Oslo Metropolitan University
- Simula UiB
- 2 more »
- « less
-
Field
-
are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
-
functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellowship in Volcano Climate Modelling Apply
-
this academic topic by applying data analysis, energy system and/or environmental modelling frameworks to analyze hydrogen systems as part of an interconnected energy-environment system. As a PhD candidate, you
-
, the Department of Mathematics, and the Department of Philosophy. To respond effectively to the accelerating decline in biodiversity, BioM will unite ecology, statistics, and philosophy to improve the modelling and
-
data with good utility. This project involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation
-
projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation
-
mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging. The project will involve both internal and
-
, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
-
in particular artificial intelligence (AI)—to study genetic and epigenetic alterations in cancer. ICGI is recognised for its work in digital pathology, where AI is used to develop new models
-
components: (i) development and validation of a fit-for-purpose questionnaire instrument to quantify individual multilectal experience (engagement with, and exposure to, dialects and written standards); (ii