The Department of Computer Science and Computer Engineering at the University of Arkansas has an opening for a one-year postdoc position. The position will start immediately and could be renewed depending on the performance. The Post-Doctoral Fellow scientist in this position will conduct research projects and develop innovative machine learning and data analysis models for biomedical research. The Post-Doctoral Fellow scientist will work with the supervisor, Dr. Xintao Wu, to develop prototype systems, publish research papers, write grant proposals, co-supervise students’ work, and conduct research, outreach and educational activities to support research projects in the Arkansas Integrative Metabolic Research Center.Applicants should have a Ph.D. degree in computer science or related areas such as computer engineering, biomedical engineering, or bio statistics conferred by the start of employment.Academic research track record in machine learning, deep learning, big data analytics, biomedical engineering, or bio  statistics and demonstrated programming skills in machine learning and deep learning are required.For a complete position announcement and information regarding how to apply, visithttps://uasys.wd5.myworkdayjobs.com/en-US/UASYS/details/Post-Doctoral-Fellow_R0034235?q=University+of+Arkansas,+Fayetteville&locations=17a66cdad98201f7890cfb48ca00e249Applicants are requested to upload to the University of Arkansas’s employment system by April 16 2023 their Cover Letter/Letter of Application, Curriculum Vitae, List of three Professional References (name, email, business title), Statement of Research Philosophy. Inquiries or questions may be directed to Dr. Xintao Wu at xint…@uark.edu.The University of Arkansas located at Fayetteville is the flagship campus of the University of Arkansas System. Fayetteville is widely recognized as one of the best college communities in the United States. With a population over 90,000, nearing half a million regionally and the presence of the headquarter of Walmart, Fayetteville has all the resources and advantages of a large city and is complete with mountain trails, running streams and serene lakes. For more information about the research, see https://sail.uark.edu and https://wordpressua.uark.edu/aimrc, and for about the University and its location, see http://www.uark.edu.