19 machine-learning-"https:"-"https:" Postdoctoral research jobs at The Ohio State University
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machine learning. In addition to leading research initiatives, the postdoc is expected to collaborate closely with graduate students, faculty, and industry and DoD partners. Key responsibilities include
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machine learning. In addition to leading research initiatives, the postdoc is expected to collaborate closely with graduate students, faculty, and industry and DoD partners. Key responsibilities include
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immunofluorescence, in situ hybridization, genotyping, quantitative PCR, micro-computed tomography, fluorescent and confocal microscopy imaging, cell culture, and computer based data analysis. Digital PCR and new
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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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/library/information sciences by the start of employment. They should have experience in social science research and demonstrate expertise or strong interest in one or more of the following areas
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computer or microscope; frequently stands to perform bench work; occasionally lifts objects up to 20 lbs (e.g., reagent boxes); requires visual acuity to perform microscopy and analyze data. Location
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efforts will extend to therapeutic modalities including immune checkpoint blockade, cytokine-based immune modulation, and engineered cellular therapies such as CAR-T platforms. The scholar will contribute
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evaluations to diagnose ADHD and comorbid disorders (e.g., anxiety, depression, learning disorders), writing integrative reports with individualized recommendations, and providing feedback to patients Providing
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| Electrical and Computer Engineering Participates in electronic materials and device research on wide bandgap semiconductor materials and devices based on Silicon Carbide, emphasizing applications in future