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Field
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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic
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an outstanding research environment for postdoctoral study. For more info, see: https://www.virology.umn.edu/ A robust career development program will be individually crafted for each postdoctoral fellow, which
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multidisciplinary team integrating molecular biology, genomics, epigenomics, microbiome science, proteomics, and clinical research. The position will focus on the development and evaluation of low-input whole genome
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biology, genomics, epigenomics, microbiome science, proteomics, and clinical research. The position will focus on the development and evaluation of low-input whole genome sequencing and study of genotoxic
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, and genomics), and cardiometabolic disease biology to develop precision diagnostics and identify novel therapeutic approaches, with a particular focus on coronary microvascular disease and other
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, gut, and immune system. The MIMIC programme aims to develop human, immunocompetent, patient‑derived multi‑organ models, using induced pluripotent stem cells (iPSCs) and organ‑on‑chip technologies
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focused on understanding how innate immune cells contribute to disease progression and recovery within the central nervous system. A major goal of the position is to develop new mechanistic insights
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molecular and cell biology approaches. • Contribute to the development of research projects, manuscripts, and grant applications. • Present research findings at laboratory meetings, national and international
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applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab. The HESG Lab develops statistical and computational methods to understand human population history and
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, vaccine development, and viral evolution. Perform laboratory experiments under BSL-2 conditions using molecular biology, virology, immunology, cell culture, recombinant DNA, and animal research techniques