Postdoctoral Scientist in Machine Learning

3 days ago


Helsinki, Uusimaa, Finland The International Society for Bayesian Analysis Full time

Key Responsibilities

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Developing statistical and computational methods for analyzing large and heterogeneous data.

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Developing Bayesian hierarchical multivariate spatio-temporal models and predictive model comparison methods within the joint species distribution modeling (JSDM) framework.

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Built around novel latent factor and Gaussian process models.

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Part of the Research Centre for Ecological Change (REC) and working closely with the Department of Mathematics and Statistics and the Organismal and Evolutionary Biology Research Programme.



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