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lab focused on understanding the brain network mechanisms underlying chronic pain and therapeutic relief through brain stimulation. The ideal candidate will have training and experience in the analysis
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analysis, alongside the postdoc's own studies. The position is hosted at the Institut de Neurosciences de la Timone (INT, UMR 7289, CNRS/Aix-Marseille University), on the Timone campus in Marseille
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are not limited to, statistical learning and machine learning, Bayesian methods, causal inference, functional data analysis, longitudinal and spatiotemporal data analysis, high-dimensional data
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the Institute for Environmental Genomics (IEG, https://www.ou.edu/ieg). The research areas of type A positions include one or more of the following topics: (i) development and application of AI-based
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contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices
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: Machine/deep learning, artificial intelligence, statistical modeling, or computational modeling Human neuroimaging analysis, including functional MRI, structural MRI, connectivity, or brain circuit
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, or functional groups respond to environmental change and the concept is increasingly recognised as a key driver of ecosystem resilience. Understanding and promoting response diversity is therefore
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areas: artificial intelligence and machine learning; statistical learning or applied mathematics; multimodal and longitudinal data analysis; computational biology, bioinformatics or digital health
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Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work. We
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limited to, statistical learning and machine learning, Bayesian methods, causal inference, functional data analysis, longitudinal and spatiotemporal data analysis, high-dimensional data, statistical