Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
an opportunity to contribute to a collaborative international research environment. GIANTS is a five-year theoretical and numerical modelling project focused on the late stage of terrestrial planet formation
-
based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
-
effort of numerical modelling, both fluid (extended MHD) and particle oriented, are combined with high quality observations taken at ground-based and space-based observatories to produce models
-
project supervised by Prof. Sijing Shen. The research work will be focused on numerical galaxy formation and the interactions between galaxies and their environment. In particular, the successful candidate
-
tomography, with numerical simulations informed by microstructural data. The successful candidate will work at the interface between experiments, modelling, and data-driven methods. Particular emphasis will be
-
for more details: https://ic3.uit.no/news/sediments-analogues-past-ice-streams-landscapes Within this research area, you can pursue the research questions and methodologies that you are most passionate about
-
: https://ic3.uit.no/news/interview-retreat-ice-sheets-expose-release-carbon-quantify Within this research area, you can pursue the research questions and methodologies that you are most passionate about
-
of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
-
details on Philipp’s work: https://ic3.uit.no/news/polar-marine-ecosystems-msca Within this research area, you can pursue the research questions and methodologies that you are most passionate about – this
-
will then integrate those data into climate models. Please read this interview for more details: https://ic3.uit.no/news/postdoc-opportunity-investigate-how-much-carbon-is-stored-beneath-ice-sheets