Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- University of Bergen
- University of Stavanger
- UiT The Arctic University of Norway
- NTNU Norwegian University of Science and Technology
- Western Norway University of Applied Sciences
- OsloMet – Oslo Metropolitan University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NTNU - Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Agder (UiA)
- University of Inland Norway
- 2 more »
- « less
-
Field
-
project involving collaboration across multiple faculties and departments. The associated PhD position will be hosted at the Department of Mathematics, with a focus on data and risk analysis. Accordingly
-
exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
-
underlying cumulative effects, recovery, and ecophysiological tip-ping points from multiple stressor disturbances (climate change and pollution). We will study complex questions of WHY key biological responses
-
multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2) incorporation of expert knowledge
-
platforms that require milli-kelvin temperatures to function, which makes them highly intriguing for studying properties of cell dynamics and biomedical applications in general. Multiple approaches will be
-
future low-carbon energy systems, with infrastructure developments spanning multiple sectors and regions. This PhD project addresses this academic topic by applying data analysis, energy system and/or
-
extremely high dimensionality, sparsity, and a strong need for biological interpretability. In such settings, current practice in applying clustering often falls short: multiple biologically plausible
-
environmental monitoring and modelling of small mammals with molecular detection of zoonotic microbes by using established methods (e.g., serology, PCR and metabarcoding) and through development of new methods
-
project could explore processes, artefacts, and practices for collecting, aggregating, cleaning, and managing large-scale financial data from multiple sources to feed AI systems, as well as related
-
Council of Norway (project number 358314). In SoilStress, we address mechanisms underlying cumulative effects, recovery, and ecophysiological tip-ping points from multiple stressor disturbances (climate