21 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at The Ohio State University
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of findings from in vitro and in vivo models in human disease. The candidate will have an opportunity to learn or become more proficient in the techniques used in the lab, including lung organoids, precision
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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
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field Strong organizational skills, attention to detail, and willingness to learn new techniques Desired Qualifications Experience with mouse handling or in vivo tumor models Experience with flow
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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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. Opportunities to teach in the Doctor of Pharmacy (PharmD) curriculum may also be available. Courses could be taught via in-person or distance-based delivery formats, and other teaching duties may be assigned as
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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
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learning outcomes and instructional practices. The position supports a collaborative research initiative led by faculty and staff from the College of Arts and Sciences and the College of Education and Human