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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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chronobiology on marine animals. Experience with research on deep sea organisms Strong hands-on expertise in big data analyses, non-parametric and bayesian methods for rhythms analyses; panel models, penalized
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