To be fully considered for all assistantships, fellowships, and campus visits, applicants must submit application materials to MUIDSI by January 1, 2021. Applications received after March 1st will be considered on a case by case basis.
Sufficient background and training to pursue advanced degree in informatics
3.3 out of 4.0
577/90 (paper/internet) or a preferred IELTS score of 6.0
Applicants are encouraged to submit representative publications in informatics, if available. For more information please visit the Graduate School Website.Visit Grad Studies Website
The following is a brief synopsis of the general degree requirements; please see the MUII Student Handbook for complete details.
MUII has a number of fellowships, all of which provide stipends, tuition waivers, and graduate student insurance for 1-4 years.
Currently, two fellowship programs offer either a 2-year support (NIH T32) or a full 4-year support (Life Sciences Fellowship Program). In addition, many faculty members have sizable funding for talented students and may recruit incoming students to their projects.
MUII has an NIH-funded BD2K T32 training program (2016-2021).
The theme of the program is Big Data in One Health. The program recruits new coming students who are committed to learning Big Data analytics methods/technologies and apply them to translational medicine – from animal model to human health or vice versa.
Each trainee will receive two-year stipends, including tuition and fees with travel and equipment allowance. The MUII graduate committee will nominate candidates to the MU’s BD2K T32 program from the applicant pools. The Advisory Committee of the training program will recommend acceptances based upon their fitness to the theme of the training and potentials to become next generation Big Data informaticians. For even years (2018 and 2020), six new trainees will be recruited and odd years (2019 and 2021), three new trainees will be accepted to the program.
The LSC has funding opportunities known as the Life Sciences Fellowship Program (LSF). The LSF is a campus-wide program that supports MU life sciences trainees with four-year stipends, including tuition and fees. The Institute will nominate candidates to the LSF Program from the applicant pools. A selection committee will recommend acceptances based upon undergraduate training, GRE scores, and research interests and career goals.
For detailed information: https://bondlsc.missouri.edu/research/life-sciences-fellowship/
Thanks to Mr. and Mrs. Paul K. and Dianne Shumaker’s generosity and passion to build a nationally recognized informatics program at MU, MUII and the Department of Computer Science were granted a $1 million endowment in bioinformatics in 2005. This endowment expects to support four 1-year fellowships annually.
Two graduate research assistant positions are available at Dr. Wan’s Influenza Systems Biology Laboratory, affiliated with the MU Institute for Data Science & Informatics, College of Engineering, School of Medicine, and College of Veterinary Medicine at University of Missouri.
The missions of this lab are to study ecology, evolution, and host-pathogen interaction for emerging and re-emerging infectious diseases, especially influenza viruses, and to develop and apply systems biology based translational approaches to create influenza-less animal population and human communities.
Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application.
The current projects aim to:
The prospective students are expected with a broad interest in Systems Biology and to work with a multidisciplinary team including both bench and computational scientists. Basic programming skills are required but, and the programming language is not limited to Python, C, Java, or any others. Prior experience with bioinformatics or computational biology is not essential.
Eligibility: All new applicants of MUIDSI
Contact: Mr. Robert Sanders (email@example.com)