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candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand
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of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging
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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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that require processing by experts with the right skills in bioinformatics and molecular biology. The research group consists of four associate researchers and one PhD student. Within the group, we value a
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structural biology, are encouraged to apply. Experience with protein expression and protein purification/isolation are required. Bioinformatics and structural modelling are also desirable. Additional
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to apply. Experience with protein expression and protein purification/isolation are required. Bioinformatics and structural modelling are also desirable. Additional qualifications include effective writing
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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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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 | 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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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