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Field
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lead sophisticated multimodal bioinformatics integration and analysis, collaborating daily with a diverse team of computational scientists and clinicians to translate complex data into actionable cancer
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techniques Demonstrated ability to work independently and collaboratively. Proven publication record in peer-reviewed journals. Knowledge of bioinformatics tools for transcriptomic or proteomic data analysis
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Position Summary The Cooper lab at WashU is seeking a post-doctoral research fellow with a strong background in immunology and bioinformatics to work on projects related to understanding somatic
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of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in molecular biology or computational biology Demonstrated ability to work independently and collaboratively
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. QUALIFICATIONS: - PhD in bioinformatics, biotechnology, computer science, statistics, physics, or similar - Excellent scientific thinking and communication, high level of motivation and drive - Programming skills
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computational and bioinformatics analyses of immunogenomics data, contribute to cutting-edge research in precision medicine for autoimmunity, and participate in industry collaborations. Project Focus: Develop
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, vascular biology, or nitric oxide signaling. Experience with laboratory mice, including handling, procedures, and tissue collection. Familiarity with sequencing technologies and bioinformatics is a plus
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researcher will collaborate closely with the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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physiology. It is equipped with high-end technology platforms staffed for plant production, DNA sequencing and digital qPCR, bioinformatics, proteomics, microscopy, protein production and metabolomics