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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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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
of tomorrow and creating novel solutions to major global 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
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staff position within a Research Infrastructure? No Offer Description The Dynamical Systems Group of São Paulo State University's Institute of Biosciences, Letters and Exact Sciences (IBILCE-UNESP) in
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, mechanical engineering, applied physics or similar Proven experience in simulating electrochemical systems An excellent publication record Experience in studying flow dynamics (either simulation or experiments
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The successful candidate will pursue postdoctoral research in group actions, geometric structures, and smooth dynamics in the research group of Prof. K. Melnick, within the Department of Mathematics
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, Mississippi 39762, United States of America [map ] Subject Area: Dynamical Systems Appl Deadline: none (posted 2025/10/16 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 1 day ago
search, may arise as different dynamical regimes of the same underlying ring-attractor system. This project seeks to understand how neural mechanisms of decision-making confer functional advantages
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stress within an epithelial tissue. Characterize transcriptional changes during epithelial morphogenesis. Develop methodologies to link gene expression, systemic factors, and tissue dynamics. Develop
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dynamics in complex, large-scale project systems develop formal, computational, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject
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impact. Your key responsibilities will be to: conduct high-quality, original research on AI-enabled decision-making dynamics in complex, large-scale project systems develop formal, computational