81 modal-analysis-machine-learning Postdoctoral research jobs at University of Minnesota
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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Previous Job Job Title Post-Doctoral Associate - Department of Biology Teaching and Learning Next Job Apply for Job Job ID 369337 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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understanding of genomic data analysis, including next-generation sequencing (NGS) data. ● A strong desire and willingness to learn new software and advanced analytical techniques as required by research
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Data: Couple model outputs with precipitation chemistry data using receptor modeling techniques (e.g., Concentration Weighted Trajectory analysis, Positive Matrix Factorization) to perform quantitative
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host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
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sequencing, Hi-C, and other protocols bioinformatic and statistical analysis of complex datasets that include numerous types of data including 16S, metagenomic, metatranscriptomic, and enriched metagenomic
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team members and investigators working with Dr. Chen in regard to project implementation and data analysis. 15%: You will be expected to prepare manuscripts for submission to scientific journals and
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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diseases, including cancer • Conduct cellular and molecular biology experiments • Produce and purify AAVs (adeno-associated viruses) • Conduct bioinformatic analysis of data 20% Professional Development