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that allows for the decoding of the continuous EEG signal into a sequence of cognitive event labels, and (3) apply this to data of expertise development. The intended duration of the project is 2 years
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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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=VUdBLjQ4NzUzLjk5MDhAdWdhLmFwbGl0cmFrLmNvbQ Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications mechanics, signal processing, field work, laboratory experiments, theoretical modelling, rivers
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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Proactive approach to tasks Ability to complete assignments by a deadline Stipend $750.00 – $1,250.00 Weekly Point of Contact Abby Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Bachelor's
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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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with neuroimaging and neural signal processing tools, including fMRI, structural MRI, diffusion MRI, EEG, or related modalities. Strong publication record in AI, machine learning, computational
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an internal employee, your current contract is the starting point. Ask your HR Business Partner about your situation specifically. We encourage development and internal mobility within our organisation. Our
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the human musculoskeletal system, or experience providing engineering, hardware, statistical, or algorithmic support for such research (e.g., in biomechanics, biomedical signal processing, analysis of data
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=VUdBLjQ4NzUzLjk5MDhAdWdhLmFwbGl0cmFrLmNvbQ Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications mechanics, signal processing, field work, laboratory experiments, theoretical modelling, rivers