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interactive prototypes for scenario testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in
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qualifications PhD in astronomy or a closely related field Strong background in radio astronomy Experience in radio polarization observations or data reduction pipeline development A good track record of
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forces—such as those predicted by physics beyond the Standard Model. Distant, coupled microwave optomechanical systems can also be utilized for quantum information transmission. In this project, two
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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the doctoral research: Computational design and 3D/4D modeling (e.g., Rhino/Grasshopper, Unity, Blender). Point cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Environmental data collection and
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety
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, Psychology or a related field excellent knowledge in AI and at least one of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in
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change. Your role and goals As a PhD researcher in the ADAPT project, you will: Conduct field studies in Norwegian glacial regions to capture high-resolution spatial–temporal environmental data
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account (not via the external webpage for open positions). For more information about the role, please contact Professor Paul Verrinder by email at paul.verrinder@aalto.fi . Additional information in