Post-Doct Research Associate - Department of Biochemistry and Cellular and Molecular Biology
University of Tennessee, Knoxville
Knoxville, TN
Full-time
Research
Posted on April 26, 2024
A postdoctoral fellow position is available in the research group of Dr. Tian Hong at the Department of Biochemistry and Cellular and Molecular Biology (BCMB), the University of Tennessee, Knoxville (UTK). Work in the group involves using multi-omics data and machine learning to produce useful biological information and concepts that current theories cannot provide. Examples of the biological topics include functions of non-coding RNAs in mammalian cells, pattern formation of motor neurons, differentiation of immune cells, and gene regulatory networks in plants. All of these projects are in close collaborations with experimentalists. The group is interested in developing theories and data analytical methods that are broadly useful in biology. The group is affiliated with National Institute for Mathematical and Biological Synthesis (NIMBioS) at UTK, which offers a vibrant environment for mathematical and computational biologists with a variety of collaborative education, outreach and research programs.
More information about the research group can be found at http://www.tianhonglab.org
Duties/Responsibilities:
Specific responsibilities for this position include:
· Analyses of multi-omics data
· Construction and analysis of network and machine learning models for biological systems
· Collaboration with multi-disciplinary teams
· Preparation and presentation of results in open literature journals and at relevant conferences
Qualifications :
Minimum Required Education and Experience
· A PhD degree in mathematics, statistics, computer science, computational biology, bioinformatics, or any other natural science and engineering field
· A publication track record in relevant areas
Preferred Education and Experience
· Proficient in at least in one of the following languages: Python, R, Julia
· Research experience with next-generation sequencing data
· Research experience with machine learning or network science
· Excellent written and oral communication skills and the ability to communicate in English to a scientific audience
