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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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distinctions between valuable, acceptable, and non-acceptable use of these technologies in sport. The Nature and Value of Sport Virtual sports: With the help of virtual reality or computer-generated environments
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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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: 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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for positions such as postdoctoral fellow, research fellow, scientific assistant and specialist candidate Preferred selection criteria Strong publication record in computational materials science, particularly in
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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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supervisor, within 3 months after employment, have worked out a complete project description to be attached to the application for admission to the doctoral program. For more information, please see our web
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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