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Field
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) · Histology, immunofluorescence, and biomarker quantification · Translational science platforms including organ-on-chip, bioreactor systems, and bioinformatics workflows for high-dimensional data integration
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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Fishes” (Grant nº 2024/03891-8), starting in 2026. Requirements: -Ph.D. degree obtained no more than 7 years ago in Animal Genetics or related fields; -Proficiency in bioinformatics tools, such as Linux
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competition in a coinfection, thereby becoming more virulent. This project will involve a combination of bioinformatic, genomic, transcriptomic and laboratory manipulation of the selected parasite lines
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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using advanced bioinformatics and models. Specially, the postdoc will use our globally collected meta-omics data to understand controls, population dynamics, and ecosystem impact of marine microbiomes
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research may include but is not limited to software tool dissemination, biology discovery, and participation in studies with large research consortia. This position will require writing bioinformatics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 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
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of novel analysis approaches and the interpretation of the outputs from these analyses. The successful candidate will develop and implement bioinformatics pipelines to analyse thousands of bacterial and