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the Human-Centered Artificial Intelligence Institute, bringing together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights
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the laboratory is to understand the pathophysiology of movement disorders such as Parkinson’s disease. At Stanford, innovations in neural interface technology have allowed us to discover how abnormal electrical
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will bridge data, operations, and policy to integrate forest-management realities with the use of biochar technology as a wildfire mitigant and ultimately provide analysis to its economic feasibility
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probes. The postdoc will play a key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic
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Engineering, Environmental Engineering, Materials Science, or a related field. Demonstrated expertise in process modeling, particularly in chemical or environmental systems. Experience with optimization