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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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of human diseases (e.g., Zhang et al., Nature Microbiology, 2025; Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism, 2023; Leung et al., Science Translational Medicine, 2022; Seelbinder et al
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, and translational hearing research. These positions are supported by a funded California Institute for Regenerative Medicine (CIRM) grant focused on developing human stem cell-derived models of hearing
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sequencing data analysis (shotgun metagenomic, and/or metatranscriptomic), microbial metabolomics, or microbial genetics. Experience designing and conducting experiments that probe the relationship between
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type identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors jointly determine tissue structure is incompletely understood. The Koplev lab is recruiting
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research, innovation, and education to enable a biobased society and improve human health. We explore how biological systems, and innovative technologies can be used to convert biomass into valuable products
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, including field-based research activities and College-designated common in-person days. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $62,500-$65,000 (based
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seeks to serve as an aging, Alzheimer’s disease, and related dementia (ADRD) research hub dedicated to the discovery of neurobiological, cognitive, genetic, lifestyle, psychosocial, and related factors
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include: Prat-Carrabin and Woodford, Nature Human Behaviour, 2022; Hebert and Woodford, J. Economic Theory, 2023; Prat-Carrabin and Woodford, Psychological Review, 2024; Azeredo da Silveira, Sung, and
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learning/AI, and science of science, as well as quantifying art. The BarabásiLab's current work spans the applications of networks toward understanding food and nutrition, human diseases, disease progression