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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour 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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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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, and Alzheimer's research. Qualifications: · Ph.D. in Computer Science, Biostatistics, Bioinformatics, Biomedical Engineering, or a related field · Expertise in deep learning and its
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bioinformatics. Post-Doctoral Associates conduct research and/or service that provides further development of career skills or allows them opportunities to learn new research techniques. They are trained by and
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part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research
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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer
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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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sequencing, genomic analysis, molecular phylogenetics, or bioinformatics or a combination of these skills. You have a proven ability to secure competitive research funding and possess excellent project
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, biomedical sciences, natural sciences, or a related field Strong background in microbiology and infection biology, including experience with BSL2 pathogens and/or phages Experience in bioinformatics is an