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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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flow law, compare it to similar research on olivine, and help implementing this model into the geodynamic software ASPECT. The aim is to develop a single method for anisotropic flow modelling for both
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and skills transfer between disciplines, organisations and sectors structured, skill-based training high-quality working conditions personal career support equal opportunities For more information see
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broadband and spectrally resolved measurements of cloud radiative properties and assist with flying a tethered balloon platform. The successful candidate will use the collected data to investigate the impact
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with whole genome data and computational biology or bioinformatics (genome assembly and annotation, pangenome graphs, population genomics) using Nanopore, PacBio and/or Illumina data Strong interest in
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interpreting 3D seismic and well data is a requirement, preferably using Petrel. Experience with quantitative earth science and modelling is an advantage. Experience of salt tectonics is an advantage. Experience
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within CSSR at the Department of Physics and Technology. Specifically, it is envisioned to develop and analyze new mathematical and numerical methods for processing 4D spatial and temporal data
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encourage you to apply! A prerequisite for employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science. Required qualifications The successful
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research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD
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the project proposal. The positions require participation in the Faculty of Social Sciences’ organized research education programme and the completion of a doctorate in human geography. The candidates who