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validations. What we are looking for PhD (or MSc with research experience) in AI, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as
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, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in English for oral and written communications. Experience with bioinformatics and high-throughput approaches
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Duke University, Biostatistics & Bioinformatics Position ID: Duke -Biostatistics & Bioinformatics -PD239922LUO [#29724, PD245471 - Luo] Position Title: Position Location: Durham, North Carolina
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
sequencing, bioinformatics pipelines for viral genome assembly, and high-throughput diagnostic workflows. This project is particularly suited to candidates interested in the intersection of quantitative
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, the cell biology of photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics
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research projects will be considered. Prior experience with 3D culture, infection model, mice experiments and bioinformatics skills preferred. In addition to the online application, please submit a
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mechanisms. Research directions include exploring DNA sequencing, DNA probe design, sequencing library preparation, bioanalytical chemistry, bioengineering and bioinformatics solutions for emerging problems in
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, and gene manipulation is required. Proficiency in genomic and bioinformatics techniques is desirable but optional. • Expertise in Indentation methods, Next-generation sequencing sample preparation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
, functional proteomics, and AI-driven bioinformatics tool development, with the overarching goal of advancing cancer treatment through data-driven translational research. Our work bridges data science and