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Field
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. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
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Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
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molecular biology techniques Experience in standard computer software related to writing, data analysis, and data presentation. Condition of Employment: Willingness to conduct in vivo experiments in mouse
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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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Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
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to regulate metabolism. We are interested in how these EV-mediated signals contribute to pathology in obesity and diabetes with the hope that we can harness this information to treat human disease. Job
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, preferably from neuroimaging or behavioral studies Knowledge of signal processing and statistical analysis Excellent communication skills and ability to work in a collaborative environment Preference will be
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material and personnel support will be provided to the postdoctoral fellow leading this project. This is a unique opportunity to study the signals that generate learning and potentially bridge a longstanding
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between chromatin regulation and immune signaling in response to environmental stimuli. Exploring the role of chromatin-associated factors that cooperate with histone variants and identify potential small
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flow phantoms mimicking skin and muscle physiology. 4. Assist in preparation and submission of IRB protocols and support regulatory documentation. 5. Lead data collection, signal processing, and analysis