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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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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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translational medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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Assistant 3 will independently coordinate and manage the wet lab of the Bioinformatics and Systems Microbiology Core lab and carry out procedures and projects in microbiome research to support the laboratory
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 minutes 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
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are the following: Works under the direction of the Principal Investigator. Carries out various experimental and bioinformatics studies in the area of 1) the regulation and function of tumor suppressor p53 and its
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be highly encouraged and supported. Minimum Education and/or Training: Requires a PhD degree in biomedical research and bioinformatics data analysis training Special Skills, Knowledge, and Abilities
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. The successful candidate will integrate multi-omic and immunological approaches, such as single-cell transcriptomics, proteomics, and tumor microenvironment profiling, and apply bioinformatic tools (e.g., R
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of biological questions and experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and