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. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agoimmunotherapies, integrating graph neural networks, regulon-aware pooling, and transfer learning with biological regulatory networks. 4) Developing and validating computational biomarkers (IGR burden, TAA burden
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Posting Summary Logo Posting Number RTF00185PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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diverse populations. The candidate will be funded primarily by an R01 on method development for statistical and population genetic applications based on the ancestral recombination graph (see recent
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role
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, museum professionals, and other partners in the Hybrid Intelligence network. Where to apply Website https://www.academictransfer.com/en/jobs/362707/postdoc-position-on-multimodal-… Requirements Specific
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flows, flow matching, neural ODEs as well as graph neural networks. Looking forward, the aim is to develop new mathematical and computational paradigms that can deepen our scientific understanding of deep
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models, stochastic processes on networks and graphs, network communication processes, and reports. The fellow will work with the other SUPPORT fellows to develop statistical methods and data resources
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approaches to laboratory group Maintain detailed written record of work performed Perform analysis of experiment results and findings, including data collection, entry, statistical analysis, and graph creation
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studies. The position depends little on the volume of collected data: its validation relies on formal analysis, ablations and targeted studies. Where to apply Website https://emploi.cnrs.fr/Offres/CDD