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美國威斯康辛麥迪遜大學2019年博士后職位招聘(生物信息學)

來 源:科學人才網
發布時間:2019-12-09

美國威斯康辛麥迪遜大學生物信息學博士后職位招聘

Postdoctoral positions in Bioinformatics

· University of Wisconsin Madison

· Location: Madison, WI

· Job Number: 7062421

· Posting Date: Nov 20, 2019

· Application Deadline: Open Until Filled

Job Description

NIH-funded postdoctoral positions are available in the laboratory of Dr. Daifeng Wang (https://daifengwanglab.org/) in Waisman Center and Department of Biostatistics and Medical Informatics at the University of Wisconsin – Madison. The aim of this position is to develop and apply computational approaches (e.g., machine learning) and bioinformatics tools to analyze large-scale multi-omic data for understanding functional genomics in the human brain and brain diseases. The selected candidate(s) will work in an interdisciplinary environment and have chance to collaborate with PIs from Waisman Center, UW-Madison and other top institutes. She/he will be able to contribute to several on-going projects and participate in the lab development and grant applications.

Daifeng Wang Lab focuses on developing computational approaches and bioinformatics tools to analyze multi-omics data for understanding functional genomics and gene regulation in the human brain. For example, they are developing interpretable machine learning methods for deciphering single-cell functional genomics to predict deep phenotypes in the neuropsychiatric, neurodevelopmental and neurodegenerative diseases, aiming to discover underlying regulatory mechanisms and genomic medicine for achieving precision medicine. Recent work has been published in high profile journals such as Science, Nature, Nature Biotechnology, Cell Systems, Genome Biology, Trends in Genetics, PLoS Computational Biology.

The applicant should have a PhD or equivalent degree in bioinformatics, computer science, data science, engineering, biology, physics or related areas, and be skilled in programming (e.g., R, Python). Prior experience on next-generation sequencing data, bioinformatics software development, or machine learning is preferred, but not required. Applicants are requested to send a CV and a list of 3 references to [email protected] .

 
 
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