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. The successful candidate will lead the development of next-generation wearable devices specifically designed for spinal cord injury applications. This role involves the end-to-end development of advanced sensor
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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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Yip and Dr. Nikolay Atanasov (Department of Electrical and Computer Engineering), and will also collaborate with co-investigators at Stanford University, UC Santa Barbara, Vanderbilt University, UNC
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Jul-26 Location: Abu Dhabi Categories: Academic/Faculty Internal Number: 189065 The Laboratory for Computer-Human
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examining the marketing of cannabis and tobacco products across digital, social media, retail, product packaging, and other communication channels. Contribute to the design and implementation of observational
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imaging and diagnostic technologies. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start
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background. Demonstrated experience designing and building scientific instruments, including the integration of optical, electronic, mechanical, and computer-controlled subsystems. Hands-on expertise in one
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theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating these into new research directions in deep learning
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, and physical systems. The successful candidate will contribute to cutting-edge research at the intersection of artificial intelligence, computational science, and engineering. Current Research
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Trustworthy Graph Machine Learning for Population Scale Networks Job description We invite applications for a postdoctoral researcher to work on fundamental techniques for trustworthy graph machine