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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 programme period starts on commencement of the position. The workplace is at UiT in Tromsø. You must be able to start in September 2025. The Department of Arctic and Marine Biology The Department
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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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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