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, lognormal, Cox, mixed-effects, GEE, penalized), propensity score matching, meta-analysis, and machine learning methods. Bioinformatic Analysis (Advanced): Experienced in gene differential expression analysis
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Duke University, Biostatistics & Bioinformatics Position ID: Duke -Biostatistics & Bioinformatics -PD245471 [#29120, 245471 - Halabi] Position Title: Position Type: Postdoctoral Position Location
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Functions The biostatistician works with Dr. Ye and other Biostatistics and Bioinformatics Shared Resources (BBSR) faculty to provide support for study design, data management, complex statistical and
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Job Description If you are skilled in Unity VR development and passionate about bioinformatics, this internship lets you build interactive molecular simulations, integrate pipelines and create
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will contribute to field work, lab work and bioinformatic analyses including: Sample collection at Askö. Extraction of DNA, RNA, and protein. Analysis of meta-omic datasets. Integration of meta-omic and
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Your Job: You will work on the development of (meta)data extraction tools from electronic lab notebooks You will create tools for data transformation and integration from electronic lab notebooks
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but
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://www.nature.com/articles/s42256-021-00368-1 ) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4 ). The research is computational in nature but
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. Application areas include robotics, social data science, bioinformatics, natural language processing, climate change, big data systems, communications, microelectronics and computer systems. Montreal is home to
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sciences or related fields). The successful candidate must have a background in bioinformatics for omics data analysis (e.g., (meta)genomics, (meta)transcriptomics, proteomics, and metabolomics data