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the temporal dynamics of populations and communities over time. The candidate will also contribute to developing the mathematical description of these models to link the ecological theory to practical data
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theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. We are part of the Helsinki Probabilistic Machine
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developing computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. We are part of
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