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Field
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ribosomes act as sensors of cellular stress and to discover the ribosome-mediated quality control and signaling pathways that govern cell fate decisions. The dysregulation of these surveillance mechanisms is
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novel proteins/antibodies and explore their biomedical applications. Our goal is to utilize these engineered proteins to precisely regulate intracellular signaling pathways, eventually translating
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cell lines. Perform functional validation of CRISPR-generated driver mutants. Investigate signaling pathways associated with cancer driving mutants. Perform xenograft experiments. Generate and analyze
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in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer Vision and speech
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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conducting clinical or preclinical proof-of-concept studies Preferred: Experience in physiological signal processing and the application of machine learning to biomedical data Background in computational
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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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, wave propagation simulation, or other modeling tools used in materials and NDE research Knowledge of data acquisition, signal processing, and automation tools used in smart manufacturing environments
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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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