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Field
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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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aim to uncover the evolutionary processes contributing to the emergence and transmission of VOCs. Gaining insight into these mechanisms is crucial for informing the development of both improved and
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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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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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The Role Carbon dioxide and sustainability Carbon dioxide is essential for life. It is at the beginning of every life process as a substrate for photosynthesis or chemosynthesis. It is at the end
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of the wearable, diagnostic device and signal processing aspects of several world-first multi-modal studies seeking to assess and quantify the effect of repetitive head impacts on short-term and long-term
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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