11 phd-position-in-data-modeling Postdoctoral positions at AALTO UNIVERSITY in Finland
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collaborators. Your work will develop algorithms, inference methods, and frameworks to adapt models from training data to test environments, which is necessary to resolve distribution shifts, hidden confounders
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and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to
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Researcher to join the group. The research project is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available
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preprint arXiv:2506.03443. What we offer A key position in an ambitious research project with backing of research groups at the top of their fields Access to data and expertise related to the projects
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Researcher to join the group. The research project is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available
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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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the samples and of the measurement setups, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your
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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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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy