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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and
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dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified
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theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium
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water flow, soil conditions, vegetation dynamics, and ecosystem carbon fluxes across northern environments. Water, Energy and Environmental Engineering research unit, at the Faculty of Technology, carries
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challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is
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the economic values derived from climate and land-use driven biodiversity changes, specifically among interacting species (e.g., prey-predator dynamics) and the resulting impacts on ecosystem functions
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biology, multiomics and single cell methodology to drive projects focusing on modelling leukemia and immune cell dynamics with the goal to develop new personalised medicine approaches. As our new
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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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dynamics, and population genetics. This position is part of the interdisciplinary consortium at the University of Helsinki, Sex Differences in Immunity, led by Dr. Avila, which brings together researchers
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–pathogen interactions (pleiotropy between pigmentation and immunity, infection assays, eco-immunology) Female colouration, life-history traits, and eco-evolutionary dynamics (genetic mapping, phenomics, G×E