24 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at The Ohio State University in United States
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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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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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| 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
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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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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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. Candidates should have a strong research record in LLM-based agents, reinforcement learning, or large language models, preferably in areas closely aligned with the topics outlined above. Desired: We are
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, history, law, philosophy, political theory/science, theology/religious studies, and sociology. Post doctoral scholars will publish research, teach, and make contributions to their academic discipline in a
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(Learn more about PIIO ) is a comprehensive bench-to-bedside research initiative focused on harnessing the body’s immune system to fight cancer at all levels — from prevention to treatment and survivorship