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Field
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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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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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optics and a Ph.D. in physics, quantum information science, or a related field. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
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. Specifically, the set-ups should subject liquid crystalline as well as isotropic liquids, which may be highly viscous and require temperature control, to static or oscillatory flow past strategically placed
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, metastasis, and prognosis. The candidate should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or
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, simulate and set-up cryogenically cooled solid-state regenerative and multi-pass Yb:YLF laser amplifiers Implement intelligent control over spectral and temporal shapes of broadband nanosecond laser pulses
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to work independently; • Experience working on research projects with a research team; and • Excellent verbal, writing and analytical, organizational and attention to detail skills, computer literacy and
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research. The ideal candidate will have experience in conducting and analyzing behavioral experiments, online experiments, physiological recordings, signal processing, statistical analyses, and computational