Job Description:
We are looking for a motived individual to join our lab as a Postdoctoral Fellow to study RNA regulation by epigenetics and in single cells using computational approaches. He/she will use Bioinformatics and Computational Biology techniques to study regulation of RNA processing by epigenetic mechanisms and in single cells. A large part of the work will be carried out in the context of cell differentiation and cancer. Collaboration with wet lab scientists is expected. The successful candidate is also expected to develop novel algorithms for specific genomic methods, if needed. Qualifications: Ph.D. degree in Computational Biology or a related field.
Additional Info:
Our lab uses molecular biology, genomics, and computational approaches to study RNA biology, focusing on the mechanisms and consequences of alternative cleavage and polyadenylation (APA), and its interplays with other gene regulatory mechanisms, such as transcriptional dynamics, epigenetics, and mRNA metabolism. Detailed research topics and publications can be found at http://tianlab.org. Interested individuals should contact Dr. Bin Tian by email (btian@rutgers.edu) with a CV including a summary of previous research and contact information of three referees. We offer competitive salary and employee benefits. The salary will be commensurate with experience. Our lab is located in Northern New Jersey, which is in close proximity to New York City. Many scientific and educational opportunities are available in the NY/NJ metropolitan area, as well as cultural, entertainment and sports activities. Rutgers, The State University of New Jersey, is a leading national research university and the state’s preeminent, comprehensive public institution of higher education. Contact: Bin Tian, Ph.D. (btian@rutgers.edu) Professor Department of Microbiology, Biochemistry and Molecular Genetics Director, Center for Genome Informatics Rutgers New Jersey Medical School Rutgers Cancer Institute of New Jersey Human Genetics Institute of New Jersey[Click Here to Access the Original Job Post]
We are looking for a motived individual to join our lab as a Postdoctoral Fellow to study RNA regulation by epigenetics and in single cells using computational approaches. He/she will use Bioinformatics and Computational Biology techniques to study regulation of RNA processing by epigenetic mechanisms and in single cells. A large part of the work will be carried out in the context of cell differentiation and cancer. Collaboration with wet lab scientists is expected. The successful candidate is also expected to develop novel algorithms for specific genomic methods, if needed. Qualifications: Ph.D. degree in Computational Biology or a related field.
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Additional Info:
Our lab uses molecular biology, genomics, and computational approaches to study RNA biology, focusing on the mechanisms and consequences of alternative cleavage and polyadenylation (APA), and its interplays with other gene regulatory mechanisms, such as transcriptional dynamics, epigenetics, and mRNA metabolism. Detailed research topics and publications can be found at http://tianlab.org. Interested individuals should contact Dr. Bin Tian by email (btian@rutgers.edu) with a CV including a summary of previous research and contact information of three referees. We offer competitive salary and employee benefits. The salary will be commensurate with experience. Our lab is located in Northern New Jersey, which is in close proximity to New York City. Many scientific and educational opportunities are available in the NY/NJ metropolitan area, as well as cultural, entertainment and sports activities. Rutgers, The State University of New Jersey, is a leading national research university and the state’s preeminent, comprehensive public institution of higher education. Contact: Bin Tian, Ph.D. (btian@rutgers.edu) Professor Department of Microbiology, Biochemistry and Molecular Genetics Director, Center for Genome Informatics Rutgers New Jersey Medical School Rutgers Cancer Institute of New Jersey Human Genetics Institute of New Jersey[Click Here to Access the Original Job Post]