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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | about 18 hours ago
glycolysis and restrains AP-1 activity in T cell lymphoma Learn More Explore the Choi Laboratory’s research, publications, and ongoing programs: How to Apply Apply online at: https://apply.interfolio.com
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Physiology & Cell
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closely related field. Research Laboratory skills that include, but not limited to PCR, generation of stable lentiviral cell lines, western blotting, immunofluorescence staining and confocal microscopy
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seeking a highly motivated Postdoctoral Scholar to investigate signaling mechanisms that regulate immune cell fate decisions in health and disease. The successful candidate will lead studies focused
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laboratory (http://www.garglab.org ) uses approaches from genomics, molecular biology, systems biology, and data science to understand cellular heterogeneity. We want to understand how cell systems with
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research in cancer biology, tumor immunology, and myeloid cell biology Ability to work independently and collaboratively in a multidisciplinary research environment Strong written and oral
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
18 months, Fixed-Term, Whole-Time Post This 18-month Postdoctoral or Senior Postdoctoral Computational Biologist for an ovarian cancer research project in the School of Biochemistry and Cell Biology
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in RNA biology, molecular biology, cell biology, genetics, biochemistry
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental