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, an essential but as yet unpredictable property that allows cell culture establishment. Besides using Arabidopsis as a model species, the focus will be on cocoa (Theobroma cacao) as a socially and economically
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bioinformatic pipelines and machine-learning approaches for genotype-based AMR detection and prediction, plasmid characterization, molecular typing, genomic epidemiology and One Health surveillance Independently
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research program focused on advanced neuroimaging and computational modeling in collaboration with Pediatric Neurosurgery and the Adult Cerebrovascular Division. This faculty member will develop a
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. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
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; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal with high-dimensional, often noisy, data sets; and mathematical modelling
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machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection
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. e3002858. https://doi.org/10.1371/journal.pbio.3002858 . Hoy, C.W. et al. (2023) “Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex,” Nature Communications, 14(1