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to tolerance, movement, and interaction. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate across
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particular emphasis on trait dimensions related to tolerance, movement, and interaction. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development
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will be implemented within the Finnish Centre of Excellence (FCoE) in Anthropocenic Chemical Ecology of Forests (ACE-Forest) (website) funded by the Research Council of Finland. The ACE-Forest project
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Centre for Astronomy with ESO (FINCA) and the Department of Physics and Astronomy at the University of Turku is seeking 1-2 postdoctoral researchers to conduct research on interacting supernovae, in
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the Neuroscience Center in the University of Helsinki (see: https://www2.helsinki.fi/en/researchgroups/synaptic-plasticity-and-development ).The research interests are focused on functional maturation of neuronal
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collaborate with the Finnish Defence Forces International Centre and Finnish National Defence University. You will use video-based methods (conversation analysis, interaction analysis and/or ethnography
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% and a maximum of 50 % of the above-mentioned sum. Depending on the salary elements, the salary will be approximately EUR 2,646-2,783/month at the beginning of the employment relationship. Our
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2nd March 2026 or as soon as possible thereafter, for a duration of 2 years with possible extension. The position is fixed-term, as it is related to the research project to the newly established Centre
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to connect these profiles with the underlying intra- and intercellular regulatory networks, and to capture immune system/disease states in multi-omics models. You will have the opportunity to collaborate with