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- Centre for Genomic Regulation
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or statistical inference • The ability to work in an international research environment, collaborating with both local and remote teams. Desirable skills: • An advanced degree (Master) in gravitational wave
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subjects related to Mathematics for Economics, specifically in the Bachelor's Degree in Economics (subjects: Mathematics for Economics I, II, III, and IV, and Bayesian Methods). Additionally, the candidate
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phylogenetic reconstruction and genetic diversity analyses using Bayesian and maximum likelihood frameworks (e.g. BEAST, IQ-TREE). Develop, document and maintain reproducible bioinformatic pipelines following
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Research Infrastructure? No Offer Description Mission: To quantitatively demonstrate that collaborative detection is better than that of individual agents in urban mobility. Functions to be developed: Infer
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signatures of logical representations and inferences induced by the passive inspection of simple scenes. Building upon previous results, we propose to realize four goals: Understand the nature
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of parametrization of these models based on least squares and Bayesian calibration techniques employing longitudinal series of anonymized PSA data from patients. 3) Analysis of the predictions, parameters, and
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these data structures and their associated algorithms to enable pattern-matching and other operations required, for instance, to infer microbial transcriptional regulatory networks through comparative genomics
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focuses on understanding how the evolution and persistence of cancer cell populations are influenced by the influx of mutations and by selective pressures, as inferred from mutation data. To address