Dr. Lana Garmire's translational bioinformatics group in the Department of Computational Medicine & Bioinformatics at University of Michigan has multiple postdoc or junior research positions for highly competent and motivated researchers immediately. Current projects include (1) Single-cell genomics and bioinformatics method, visualization and algorithm development, single-cell analysis in stem cell and cancer data. (2) Developing new computational methods, as well as using existing methods to integrate high-throughput genomics data (methylation, RNA-Seq, proteomics and metabolomics data) for biomarkers applications in human placentas affected by pregnancy adversities, as well as various cancers. The postdocs are expected to publish multiple first-author high quality papers, help supervise graduate students and rotational students, as well as collabroating with other domain experts.
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- PhD program in bioinformatics, mathematics, engineering, (bio)statistics, physics or relevant major with rigorous training in quantiative science.
- Strong publicatioin records with multiple first-author publications in high-quality peer reviewed journals.
- Must be in good academic standing (GPA 3.5 or above);
- Deep experience in programming languages such as Matlab, R, C, C++, and Java; Demonstrated efficiency with scripting languages such as Perl and Python;
- Must be familiar with Unix OS;
- Deep knowledge in statistics/computer science;
- Deep experience in machine learning and data mining;
- Good communication skills (both oral and written) in English;
- Demonstrated ability to work as a team player with a collaborative spirit
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