54 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral research jobs at The Ohio State University in United States
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time of hire is required, along with a strong theoretical or practical background in statistical mechanics, quantum dynamics, or Machine Learning. Demonstrated experience operating and maintaining a
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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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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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ability/proficiency/excellence computer software, equipment operation, or research technical skills. Desired Qualifications: Experience in research with flow cytometry, animal models, cloning and expression
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by the impending prospect of powerful AI-driven military technologies; understanding and evaluating alleged risks to humans associated with AI systems becoming autonomous and significantly more
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to therapeutic modalities including immune checkpoint blockade, cytokine-based immune modulation, and engineered cellular therapies such as CAR-T platforms. The scholar will contribute to the development and
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cytometry and cell sorting. Collect, prepare, and analyze research data; keep a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and
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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