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investigate dynamic phenomena and processes in the Martian atmosphere, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will
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University Museum as well as cultural heritage management and research-based excavations in Northern Norway. All excavated archaeological finds are incorporated into the existing museum collections. Combined
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and limitations arising from the use of AI-based methods in predictive feedback. The successful candidate will: explore how a combination of multimodal observation (audio, video, LIDAR, thermal vision
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on creating frameworks that allow environmental observing systems to adapt and learn from data— identifying which measurements are most informative and guiding where, when and how to observe next. By combining
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, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will have the opportunity to join the science teams of three major Mars
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tectonic history. By combining geodynamic modelling with paleogeographic reconstructions and scenarios for ice sheet growth and decay, this project aims to explore and constrain the history of TPW and
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. The successful candidate will: explore how a combination of multimodal observation (audio, video, LIDAR, thermal vision) and physiological measurements (motion tracking, eye tracking, EMG, BCI, EDA, HRV) can be