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Field
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, statistics, applied mathematics, bioinformatics, computer science or a related field and 2) completed postdoctoral training prior. To be considered, those interested must apply through The University
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collaborating on a number of spatial transcriptomics projects unrelated to cancer and you will be taking part in building a strong local community focusing on the bioinformatics aspects of these types of data
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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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implantation and immunohistochemistry. Experience in Bioinformatics is desirable. Additional Information: Working at Ohio State brings with it a robust package of total rewards, including market-based
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implantation. Experience in Bioinformatics is desirable. Additional Information: Location: Evans Hall (0995) Position Type: Term (Fixed Term) Scheduled Hours: 40 Shift: First Shift Final candidates are subject
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findings, and represent the group at meetings. A working knowledge of bioinformatics is also essential. One or more first-author scientific publications, experience in protein purification and flow cytometry
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a highly multi-disciplinary research team that includes scientists with expertise in biochemistry, bioinformatics, single cell genomics, epigenetics, pharmacology and pathology. The laboratory website
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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genome/protein analysis pipelines for Mycobacteria genomics and drug target identification. Bioinformatics techniques will include database-driven analyses, quantitative comparative genomics approaches