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Field
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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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analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
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bioinformatics tools for genetics and neuroscience research. Preferred Qualifications This role embodies a high degree of complexity, requiring sophisticated understanding and application of neuroscience and
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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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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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. 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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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