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Field
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of quantitative, experimental, and clinical scientists. ● Present complex results clearly and concisely to diverse audiences. Who You Are ● You have a Ph.D. in Computational Biology, Bioinformatics, or a related
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Objectives: The participant will have the opportunity to learn large animal trial management, bioinformatics techniques required for metagenomics and metatranscriptomics analysis. The participant will have the
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; perform downstream bioinformatic analysis using appropriate tools (e.g., Seurat, Scanpy, Cell Ranger). • Analyze whole genome sequencing data sets • Collaborate with clinicians, computational biologists
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The qualified candidate should be currently pursuing or have received a doctoral degree in the one of the relevant fields. Preferred skills: Experience in computer science, bioinformatics, or computational
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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within the past five years, or anticipated to be received by 5/31/2026. Preferred skills: Experience in computer science, bioinformatics, or computational biology Experience in machine learning and
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— from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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the age of 21 will have some driving restrictions. Ph.D. or other terminal degree in the field of Computational and Quantitative Biology and Bioinformatics, and/or Ecology, Evolutionary Biology
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team is seeking a highly motivated candidate with skills and understanding in antigen presentation utilizing bioinformatics tools to be applied to vaccine development utilizing viral vectors
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field