Institute of
Genomics and Multiscale Biology, Mount Sinai School of Medicine is offering postdoctoral position in computational and
systems biology in New York, USA. The Institute award postdoctoral position in
the field of genomic medicine. Applicants Researchers must have a recent PhD
degree in a computationally oriented field. Researchers must have a solid
background in programming and computational techniques, with a working
knowledge of molecular biology and genetics being highly desirable. Send your
application electronically.
Study Subject(s): The position is awarded in Computational and Systems Biology at Mount Sinai School of Medicine in New York City, USA.
Course Level: This position is for pursuing postdoctoral level at Mount Sinai School of Medicine in New York City, USA
Scholarship Provider: Mount Sinai School of Medicine in New York City, USA
Scholarship can be taken at: USA
Eligibility:
-Candidates should have a recent PhD degree in a computationally oriented field, and discipline and high motivation to pursue independent research in computational biology.
-Applicants are expected to have a solid background in programming and computational techniques, with a working knowledge of molecular biology and genetics being highly desirable.
Scholarship Open for Students of Following Countries: Applicants of USA are eligible for this postdoctoral research position in the USA.
Scholarship Description: A post-doctoral position is available in the group of Prof. Gaurav Pandey at the Mount Sinai School of Medicine in New York City. The group focuses on developing and applying machine learning methods to build network and predictive models of biological processes of large genomic data sets. Some of the specific areas my group is currently focusing on being the modeling of the immune response system, prediction of breast cancer phenotypes, and the discovery of novel therapeutics, especially synergistic drug pairs. These are important but quite difficult problems that need constant computational innovations, thus making the problems very interesting from a computer science perspective as well. Our group is a part of the newly formed Institute of Genomics and Multi scale Biology at Mt Sinai.
The Institute aims to revolutionize the field of genomic medicine by bringing to the table skills from very unorthodox disciplines (in biology), such as computer science, statistics, physics and high-performance computing. The faculty members of the institute, experts in all these areas, analyze very large genomic data sets to build accurate predictive models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer’s disease. Being positioned within a prominent medical center such as Mount Sinai makes it feasible to bring the predictions and therapeutic discoveries from these models to the patients’ bedside, thus placing the institute in a very unique position. The selected candidate will be able to contribute to the ongoing projects in the group and the Institute, as well as define his/her own projects.
How to Apply: The mode of applying is electronically. To apply, send a CV, a research statement and three reference letters to gaurav.pandey-at-mssm.edu.
Scholarship Application Deadline: Contact Employer
Further Official Scholarship Information and Application
Study Subject(s): The position is awarded in Computational and Systems Biology at Mount Sinai School of Medicine in New York City, USA.
Course Level: This position is for pursuing postdoctoral level at Mount Sinai School of Medicine in New York City, USA
Scholarship Provider: Mount Sinai School of Medicine in New York City, USA
Scholarship can be taken at: USA
Eligibility:
-Candidates should have a recent PhD degree in a computationally oriented field, and discipline and high motivation to pursue independent research in computational biology.
-Applicants are expected to have a solid background in programming and computational techniques, with a working knowledge of molecular biology and genetics being highly desirable.
Scholarship Open for Students of Following Countries: Applicants of USA are eligible for this postdoctoral research position in the USA.
Scholarship Description: A post-doctoral position is available in the group of Prof. Gaurav Pandey at the Mount Sinai School of Medicine in New York City. The group focuses on developing and applying machine learning methods to build network and predictive models of biological processes of large genomic data sets. Some of the specific areas my group is currently focusing on being the modeling of the immune response system, prediction of breast cancer phenotypes, and the discovery of novel therapeutics, especially synergistic drug pairs. These are important but quite difficult problems that need constant computational innovations, thus making the problems very interesting from a computer science perspective as well. Our group is a part of the newly formed Institute of Genomics and Multi scale Biology at Mt Sinai.
The Institute aims to revolutionize the field of genomic medicine by bringing to the table skills from very unorthodox disciplines (in biology), such as computer science, statistics, physics and high-performance computing. The faculty members of the institute, experts in all these areas, analyze very large genomic data sets to build accurate predictive models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer’s disease. Being positioned within a prominent medical center such as Mount Sinai makes it feasible to bring the predictions and therapeutic discoveries from these models to the patients’ bedside, thus placing the institute in a very unique position. The selected candidate will be able to contribute to the ongoing projects in the group and the Institute, as well as define his/her own projects.
How to Apply: The mode of applying is electronically. To apply, send a CV, a research statement and three reference letters to gaurav.pandey-at-mssm.edu.
Scholarship Application Deadline: Contact Employer
Further Official Scholarship Information and Application
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