131 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at The Ohio State University
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genetically engineered mouse models of lung cancer Collaborating with multidisciplinary teams within and beyond home institution Collaborate with bioinformaticians and clinicians for translational studies Write
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informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
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. Additionally, the scholar will prepare and disseminate research findings through various publications and perform other assigned tasks. Required Education: PhD in Chemical Engineering or related field Required
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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-for-purpose modeling efforts. MINIMUM QUALIFICATIONS: PharmD or PhD in pharmacology, statistics, engineering, or related field; specific training, experiences, and a demonstrated track record in applying PK/PD
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Education: PhD in Chemical Engineering Required Experience: 1 year of research experience on membrane separations Desired Experience: 3 years of research experience on membrane separations or related fields
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| Materials Science and Engineering Position Description: Perform research in light metals and manufacturing including both experimental and modeling work; produces publications and prepares presentations
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support the laboratory maintenance. Additional Information: Minimum Required Education PhD in relevant field Location: Parker Food Science and Technology (0064) Position Type: Term (Fixed Term) Scheduled
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interests and career goals. Position Environment The Post-Doctoral Researcher – DoDVLS will join a dynamic and mission-driven team housed within the College of Education and Human Ecology at The Ohio State
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experiments in protein engineering, molecular biology, biochemistry, and next-generation sequencing (NGS). The ideal candidate will have experience with computational tools for protein modeling and design—such