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the lab. The postdoc (or research associate) will also collaborate with others in the lab who are generating novel data for comparative genomics (whole-genome sequences, RNAseq transcriptome data, Illumina
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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and directions in the lab. The postdoc will use data from open-source aggregators to construct and test models to assess current and future species distributions of several hundred medicinal plant
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professionally relevant background in algorithms, machine learning, database systems, or data mining. Very good programming skills using Python and/or Julia. Have excellent skills in mathematics and probabilistic
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mining, and data extraction. Experience in clinical and health services research. Experience using various statistical software (SAS, STATA, R, and SPSS). Experience with mixed methods (including
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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the lab. The postdoc (or research associate) will also collaborate with others in the lab who are generating novel data for comparative genomics (whole-genome sequences, RNAseq transcriptome data, Illumina
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willing to train junior scientists in the lab. - Familiarity with AI and robotics. Comprehension of common machine learning algorithms, data mining, image analysis, etc. - Familiarity with conducting
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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, spatial transcriptomics, and high-plex immunofluorescence spatial proteomics to uncover disease mechanisms. Perform data mining, integration, and visualization, extracting meaningful insights from diverse