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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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and a proficient understanding of next generation sequencing, analysis, and bioinformatics), (3) project management and scientific writing experience, and (4) excellent communication skills and a
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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assays, molecular biology, and rodent biology is required without exception. The ability to learn and adopt new techniques, particularly bioinformatics, immunohistochemistry and flow cytometry, is
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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
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creative postdoctoral fellow with a strong molecular/cellular biology, immunology, and/or bioinformatics background and excellent written and verbal communication skills. The successful candidate will lead a
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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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across Duke AI Health, the Department of Biostatistics & Bioinformatics, and the Department of Psychiatry & Behavioral Sciences. The position provides support for pursuing independent funding (e.g., K99
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to conferences, interactions with clinicians, and close collaboration with partner research groups in protein chemistry, molecular biology, and bioinformatics. Required Qualifications: MD or PhD in a relevant
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in various molecular biology techniques, animal models, flowcytometry, utilization of bioinformatics tools, application of statistical methods and supervision of research scientists. Experience