Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- NTNU Norwegian University of Science and Technology
- University of Oslo
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- University of Inland Norway
- University of Bergen
- University of South-Eastern Norway
- jobs.ac.uk
- OsloMet – Oslo Metropolitan University
- Molde University College
- Oslo University Hospital
- The Norwegian School of Sport Sciences
- University of Agder
- 3 more »
- « less
-
Field
-
observational datasets to quantify cloud and radia-tive flux variations associated with the rapid warming of 2023 - 2025, (ii) Apply atmosphere-only NorESM3 simulations to explore drivers of the rapid warming
-
knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
-
the offer, initially planned for November 2026. The PhD candidate is expected to participate in simulation and experimental activities related to autonomous spacecraft systems and validation frameworks
-
be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge . It is
-
or voice signal processing Experience with physical or numerical modelling and simulation (e.g. finite-element or acoustic modelling, vocal-tract or voice-production models) Good programming skills
-
must be presented before taking up the position. CV A copy of the doctoral thesis. If you are close to submitting, you can attach a draft of the thesis. Academic works - published or unpublished Possible
-
The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be
-
new simulation tools, scalable neural architectures for perception and navigation that generalize across robot types, modeling of light effects underwater, and high-quality underwater datasets, both
-
element simulations, blast loading models, propagation of pressure waves in the ground and soil–structure interaction analyses to establish methods for assessing the protective capacity of existing
-
, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across the landscape. The work will