The University of Tennessee, Knoxville, Biochemistry & Cellular and Molecular Biology

Position ID: 2539-PD [#18762]
Position Title: Postdoctoral Fellow in Mathematical Biology
Position Type: Postdoctoral
Position Location: Knoxville, Tennessee 37932, United States
Subject Area: Mathematical Biology
Application Deadline: 2021/12/31 11:59PMhelp popup (posted 2021/10/26, listed until 2022/06/30)
Position Description:    

An NIH-funded 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 mathematical modeling and data analysis to produce useful biological information and concepts that current theories cannot provide. Examples of the biological topics include epithelial cell plasticity in development and metastasis, development of motor neurons, differentiation of immune cells, and gene regulatory networks in plant and yeast cells. All of these projects are in close collaborations with experimentalists. The group is also interested in developing theories and 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:
• Construction and analysis of mathematical models for biological systems
• Collaboration with multi-disciplinary teams
• Preparation and presentation of results in open literature journals and at relevant conferences

Minimum Required Education and Experience:
• A PhD degree in mathematics, computational biology, bioinformatics, or any other natural science and engineering field
• A publication track record in relevant areas
• Basic programming skills
• Familiarity with mathematical modeling using differential equations
• Basic knowledge in statistics
• Good understanding of molecular and cellular level biology
• Excellent written and oral communication skills and the ability to communicate in English to a scientific audience

Preferred Education and Experience:
• Proficient in at least one of the following languages: Python, R, Julia
• Research experience with chemical reaction network theory, graph theory, and/or machine learning
• Experience in working in multi-disciplinary teams with both modelers and experimentalists

Additional Information
• Applications and inquiries can be sent to Tian Hong hongtian@utk.edu
• Please attach the following electronic documents to the application: CV, and the names and email addresses at least three references
• Review of applications will begin immediately and continue until the position is filled
• This position is a full-time assignment for 2 years with possible extensions, contingent on successful performance and continued funding

The University of Tennessee is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA institution in the provision of its education and employment programs and services. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status.

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Contact: Tian Hong
Email:
Postal Mail:
1311 Cumberland Ave.
Knoxville TN 37996
Web Page: www.tianhonglab.org

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