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Field
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imaging is also required. However, experience with bioinformatics or computational tools for biology is highly recommended but not required. This position provides an opportunity to lead and run experiments
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Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
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Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth
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publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science.Term of appointment is based on rank. Positions
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. Field of study for the degree required: Cell Biology, Bioinformatics, or related areas.
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in bioinformatics, microbial ecology, plant-microbe interactions, or similar Collaborative skills and ability to participate actively in teams A fondness of taking the initiative and the motivation
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corresponding scientific project management is desirable Confident in independent bioinformatic and statistical analysis of high-throughput sequencing data Experience in working with biofilms is desirable
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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inflammation, multi-dimensional flow cytometry, and assay development is desired. Experience with bioinformatics analysis is preferable but not essential. Applicants with good organizational and analytical
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, innate immunity RNA Bioinformatics & High-Throughput Methods (Hyeshik Chang): mRNA vaccine design, RNA sequencing, RNA modification analysis RNA–Protein Interactomics (Jong-Seo Kim): proteomics