47 parallel-computing-numerical-methods positions at UiT The Arctic University of Norway
Sort by
Refine Your Search
-
Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
-
18 Sep 2025 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physics and Technology Research Field Computer science Mathematics Engineering
-
37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position
-
Environment at the Norwegian College of Fishery Science (NCFS), with an appointment for a duration of four years. The position is for a period of four years. The nominal length of the PhD programme is three
-
development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research groups you will therefore work together with computer
-
Disrupted Planet ”. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period
-
different parameterizations for the sea ice redistribution transfer function Apply machine learning methods to identify optimal model parameters that can be used in large-scale sea ice simulations (either
-
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position The Department of Physics and
-
) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN prosjekt
-
of Computer Science at UiT The Arctic University of Norway. HDL’s mission is to build and experimentally evaluate the systems, methods, and tools needed to analyze and interpret complex health datasets. The group