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, biochemistry, protein/RNA structural computation and RNA Nanotechnology. We aim to train and create the next generation of scientific leaders and workforce to transform innovative research and RNA
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supporting this new research program. The position involves performing a wide range of laboratory experiments, assisting in establishing and maintaining the daily operations of a newly formed laboratory, and
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conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
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The Postdoctoral Researcher will pursue advanced research training under the mentorship of Dr. Rongxue (Rosie) Wu, MD, PhD, Associate Professor in the Department of Surgery (Cardiology) at The Ohio State University
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candidate holds a PhD in Materials Science and Engineering, Chemical Engineering (or a related field) is proficient in both experiments and characterization. Join us to tackle magnetic nanoparticle challenges
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(https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and
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The Postdoctoral Researcher will pursue specialized research training, education, and experience under the guidance of Dr. Rongxue (Rosie) Wu, MD, PhD, Associate Professor in the Department of Surgery/Cardiology
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Doctoral Scholar-NRSA awarded an extramural fellowship. Clinical and Translational Data Science Postdoctoral T32 Training Program. The goal of this postdoctoral training program is to leverage the large
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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quantum devices. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how computational and theoretical methods can provide thermodynamic design