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Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
an ambitious interest in developing tools and applying cutting-edge bioinformatic and deep learning/AI techniques to advance our understanding of cancer biology and treatment. Our agile, growing
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to individual career interests will be available. Education and Experience Requirements: PhD awarded by the start date (or to be shortly awarded) in fields such as biostatistics, computer science, bioinformatics
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bioinformatics support and training to team members. Required Qualifications Ph.D. in a related field (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics). Proficiency in
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Wang lab at University of Pittsburgh Cancer Institute | Pittsburgh, Pennsylvania | United States | 2 months ago
publication record in cancer research or bioinformatics, and those with established expertise in machine learning, multi-omics data analysis, computational genomics/immunogenomics, structural mutations
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; virology; immunology; T-cell biology; cancer biology. Mouse model experience and bioinformatics/genomics/proteomics expertise are not required, but highly desirable. All applicants should have good spoken
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 8 days ago
. The successful candidate will have access to several Centers, including an NCI-designated Mays/M D Anderson Cancer Center, NIH -funded Barshop Institute for Longevity and Aging, NIA-funded Alzheimer’s Research
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, at the Beckman Research Institute of City of Hope, a prestigious NCI-designated Comprehensive Cancer Center. The goal of this position is to reveal mechanisms of therapy resistance and develop novel methods
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biochemistry, bioinformatics, or computational work would be beneficial. We're looking for someone who has a strong interest in immunology research and science. The candidate should feel comfortable in a fast
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tumor biology and immunology. Publish research findings in high-impact journals. Provide bioinformatics support and training to team members. Required Qualifications Ph.D. in a related field
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. To improve T cell function, our lab will employ cutting edge single-cell sequencing and bioinformatic analysis to identify a novel transcriptional mechanism of T cells exhaustion. Furthermore, we will also