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Field
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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to microelectronic devices and low-power, three-dimensional, non-von Neumann computing architectures. You will utilize ORNL’s unique ultra-high-vacuum, glovebox, and ambient atomic force microscopy capabilities
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(such as language, memory, or attention). Work will be performed using a combination of EEG, intracranial recordings (DBS, sEEG), TMS, fMRI, EMG, brain lesions, computational modeling, and other methods
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of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure
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science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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molecules to ameliorate lipid-based diseases such as obesity and lipodystrophy. The postdoc will gain research experience in the areas of biochemistry, cell biology, lipidology, and molecular genetics by
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Strong programming skills Experience in organizing and handling large, multimodal data sets PREFERRED QUALIFICATIONS: Experience using AWS and other high performance computing platforms Experience using
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significant impact on the world around us. Carnegie Mellon University’s department of Electrical and Computer Engineering is looking for a talented postdoc/research scientist to work on an innovative project
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, or other relevant languages. Familiarity with frameworks for studying race, racism, and health disparities. Experience developing reproducible pipelines and working in high-performance computing environments