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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
Deadline 31 Dec 2025 - 23:00 (Europe/Oslo) 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 Is
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, Fast Fourier transform, Pseudospectral method) is an advantage. Experience as a developer for a model within computational fluid mechanics/geophysical fluid dynamics (such as developing toolboxes
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particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role? Qualification requirements: The Faculty of Mathematics and Natural Sciences has a
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differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role
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physical oceanography, dynamical meteorology or geophysical fluid dynamics. The doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis
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equivalent to a Norwegian doctoral degree in physical oceanography, dynamical meteorology or geophysical fluid dynamics. The doctoral dissertation must be submitted for evaluation by the closing date. Only
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Norwegian doctoral degree in physical oceanography, dynamical meteorology or geophysical fluid dynamics. The doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with
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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 Job description The