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% Performing research (protein characterization, bioinformatics) 20% Contributing to reports, manuscripts, project reporting, and grant proposals We are seeking a highly motivated Research Scientist with
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Postdoctoral Researcher in Bioinformatics & Computational Biology University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Computer Science Location University of Oklahoma
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University of California San Francisco | San Francisco, California | United States | about 10 hours ago
delivering analysis expertise to investigators across UCSF. Projects facilitated through the Computational Hub span diverse disciplines and include experimental design consultation, bioinformatics analysis
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independent scientist with a strong background in cancer immunology and bioinformatics, particularly single-cell transcriptomic analysis and dimensionality reduction techniques such as tSNE. Our lab is focused
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bioinformatic analysis of bacterial population genetics. The position is in the lab of Dr. Michael Grillo which studies the evolutionary genetics of plant-microbe interactions. More information about Grillo’s
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of Malignant Hematology/Medical Oncology) and UPMC Hillman Cancer Center. This position is supported by the NIH and intramural funding sources. The successful candidate will engage in bioinformatics research
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Systems Duke University – Departments of Mathematics and Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a
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We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of tumor cells and the
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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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repertoires of different viral groups groups, and the development of bioinformatic methods for genomic and evolutionary analyses. The research will address critical questions regarding the evolution and