26 assistant-and-professor-and-computer-and-science-and-data Fellowship positions at University of Oslo
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an interdisciplinary learning assistant (I-LA) program to support learning of interdisciplinary competencies and to build a community for interdisciplinary learning. The PhD research fellow is expected to contribute
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The postdoctoral fellow will be a full member of the team aiming at successfully completing the project’s goals. The candidate will help coordinating data collection for the iterative learning experiments in
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full member of the team aiming at successfully completing the project’s goals. The candidate will help coordinating data collection for the iterative learning experiments in the laboratory and iconicity
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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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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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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