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of the earliest PhD bioinformatics programs in the country in 2003. BCMG is a basic science department in College of Medicine at UIC, where faculty employ cutting-edge molecular and genetics approaches to explore a
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write manuscripts and present research work at scientific conferences. Credentials and Qualifications: PhD in Biostatistics/Bioinformatics, Data Science, Computer Science, Genetics or related field
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of Malignant Hematology/Medical Oncology) and UPMC Hillman Cancer Center. This position is supported by an NIH/NIGMS R35 grant and intramural funding. The successful candidate will engage in bioinformatics
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science, engineering, or medicine, and possess a strong background in stem cell biology, vascular biology, and/or bioinformatics, supported by a solid publication record. We highly value prior experience in
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are the following: Works under the direction of the Principal Investigator. Carries out various experimental and bioinformatics studies in the area of 1) the regulation and function of tumor suppressor p53 and its
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proteomic techniques as well as human stem cell models. The candidate must be comfortable with advanced molecular biology techniques and bioinformatics. We are seeking a self-directed, self-motivated, curious
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD or foreign equivalent degree in hand by August 2025. Preferred Qualification: PhD or MD in Biomedical
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD or foreign equivalent degree in hand by August 2025. Preferred Qualification: PhD or MD in Biomedical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
applicants with experience in tissue culture, genomics, proteomics, bioinformatics, or computational integration of multi-omic data sets. Minimum Education and Experience Requirements PhD in Biological
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PhD in Computational Biology, Genomics, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in applying or developing computational methods