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patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics of squamate reptiles; the largest group
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blot, histology, immunohistochemistry), Cardiac cell and tissue culture (incubator), Bioinformatics (transcriptomics, metabolomics, proteomics), Signal processing (optical action potentials, electrograms
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communication skills. Desirable Criteria Experience Strong publication record in peer-reviewed journals, commensurate with stage of career. Experience in bioinformatics and high-throughput sequencing data
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collaboration with internal and external partners, including Professor David Fitzpatrick (Bioinformatics) and Associate Professor Van Tuan Tran (Vietnam National University). The lab is internationally recognized
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, including breast cancer, the genetics of autoimmune, neurological, cardiovascular and psychiatric disorders, epigenetics causes of disease, as well as groups focusing on bioinformatics. Oslo University
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background in computational biology, machine learning, and bioinformatics, with a passion for understanding the underlying mechanisms of gene regulation. The position provides an exciting opportunity to work
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. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational
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a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic, proteomic, and metabolomic
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laboratories in CIBS. Additional duties as assigned. Knowledge, Skills, and Abilities: Deep understanding of data science, AI/ML, and bioinformatics applications in biomedical research. Experience working with