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project CONFSTAT – Conformally invariant and near critical models in statistical field theory. The work of the postdoctoral researcher will focus on studying conformally invariant models of statistical
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funded by the ERC consolidator grant project CONFSTAT – Conformally invariant and near critical models in statistical field theory. The work of the postdoctoral researcher will focus on studying
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behaves and how it is produced in complex health care processes. Statistical modelling: Depending on your previous competence, building advanced statistical, causal, and predictive models describing disease
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models using sophisticate genetic tools, in vivo time-lapse imaging and multi-omics methods to decipher the underpinning mechanisms of regeneration. Our findings provide new targetable mechanisms
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tools. We additionally value expertise in behavioral measurements, neurostimulation, or computational modelling. While the scope of the position is broad, the new professor is expected to have a strong
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the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is
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, facilitating numerous future studies. What we offer: A high-quality research environment, where experienced supervisors and colleagues working on multiple research projects on data analytics can support your
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is to apply theories, models, and methods from psychology to improve Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction
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at the institute operate across multiple scales of biological resolution in the areas of Structural Biology, Molecular and Cell Biology, Developmental Biology, Genomics, and Evolutionary Biology. We seek an early
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the university’s research platforms, such as Modelling Reality Through Simulation (MORE-SIM) and Integrated Energy Conversion Machinery (INERCOM) and it will collaborate with all laboratories at LUT, but especially