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PhD Tracks in Biomedical Informatics

The Department of Biomedical Informatics currently has one option for doctoral study at The Ohio State University, the Biomedical Sciences Graduate Program with research emphasis in Computation Biology and Bioinformatics

The Biomedical Sciences Graduate Program was designed with the fundamental educational goals of providing students with two elements for success as researchers:

1) Intensive, broad-based education related to the mechanisms of human disease; and

2) In depth research with investigators at the forefront of science.

To that end, the details for the research track are listed below with the desired qualifications for admittance:

 

Computational Biology & Bioinformatics (CBB)

Faculty Contact for the CBB research area: Ewy Mathé, PhD​

Students can focus within any of the following areas for transcript designation in CBB:

1) Training in the processing, analysis, mining, and integration of data from multiple sources such as genomic sequencing, epigenetics studies, gene and protein expression profiling, radiological studies, microscopy imagery, electrophysiological experiments, and numerical simulation studies; 

2) Development of models to explain physiological and pathological processes; and/or

3) Development of database technology, data analysis techniques, high performance computing infrastructure, and systems software/middleware needed to carry out tasks associated with the aggregation and analysis of biomedical data, and needed to carry out biomedical simulations.

This Area of Research Emphasis will involve the integration of large-scale data analysis, management, processing, and visualization with biomedical informatics. We will engage trainees in a highly collaborative interdisciplinary research program on high throughput data analysis and integration for biomedical applications in high end computing environment. We will also provide access to a customized program of course work in biomedical informatics, computer science and in basic and translational biomedical sciences.

Students will engage in highly collaborative interdisciplinary research focusing in high throughput data analysis and integration for biomedical applications in high end computing environments. This will be accomplished through core coursework paired with a customized elective portfolio in the research fields of biomedical informatics, computer science, and basic and translational biomedical sciences.

For more information and to apply visit the BSGP website​


Not the best fit? Check out our other educational opportunities.​

 

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