Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
15th July 2025 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Scalable Model Predictive Control for the Space-Heating
-
14th April 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in AI in hydraulic modelling to predict critical locations
-
intensity of extreme weather events predicted under future climate scenarios, leading to growing risks of urban flooding, water pollution, and infrastructure damage. This is a particularly urgent concern in
-
critical need for improved yet explainable predictive accuracy to enable the early detection of life-threatening conditions. This project aims to develop a multiway and multitask learning framework
-
, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in
-
and innovative methods for predicting metocean data (primarily surface waves and ocean parameters such as currents, temperature, salinity, etc.) by combining advanced numerical simulations and deep
-
techniques for effective analysis of massive-size geophysical data. The goal is to develop algorithms for classification and predictions that enable early warning systems in various geosciences applications
-
Sustainable Energy AS. Duties of the position The technical work tasks concern: Development of smart algorithms and modules for load prediction and minimization of fuel, energy, and emissions for marine vessels
-
exacerbated by the occurrence of severe weather conditions, which have already been predicted to increase in the future across Norway. Addressing the challenges of emerging contaminants requires a paradigm
-
information. Researchers will use this data to discover how factors such as COVID-19, climate changes or pollution might affect mental well-being. The goal is to find patterns and predict who is most at risk