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-performance computing (HPC) systems. Proven track record of interdisciplinary collaboration on research projects. Strong publication record in relevant fields such as environmental science, data science, or
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, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Work with others to maintain a high level of scientific productivity
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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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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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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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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
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mammalian brain and human neurons derived from human tissue. In addition, the postdoc(s) should have a strong background in neuroscience and/or cell biology and be able to perform molecular, cellular and/or
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tomography will also be developed. This work will be performed in the laboratory of Prof. Mark Anastasio. The successful candidate will have proficiency in high performance computing, experience with numerical