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Field
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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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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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. 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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, bioinformatics, or CRISPR technologies What we offer Working with the latest techniques / technical equipment at the Institute of Experimental Cardiology in a new research building with cutting-edge facilities
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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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contribute to the excellence of our academic community. The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to work
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, Chemistry, Chemical Engineering, Data Science/Bioinformatics, Microbiology, Pharmaceutical Sciences, Pharmacology, Toxicology or other related disciplines. Graduate student applicants should be within 12
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collaborative and social abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen
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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