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Filled Yes Desired Start Date 06/09/2025 Job Summary Position will work with collaborators on analyzing imaging and behavioral data from the BrainHealth Project. The BrainHealth Project is a landmark study
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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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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis
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validate mechanical and electronic systems for image-guided therapy. Integrate pioneering and proven tools for the precise control and validation of interventional device placements. Examine clinical
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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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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
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in our group delves into the fundamental neural processes that influence eating behavior, energy expenditure, physical activity, glucose metabolism, all of which play pivotal roles in metabolic health
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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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electrophysiological recording (cMOS Multielectrode array) and calcium imaging and optogenetics. The long-term goal is to understand how cortical organoids process information. For this aspect there will be
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methods to advanced imaging techniques. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer's Disease and the effects of anti-amyloid therapies on disease