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available within the Department of Medicine, Division of Endocrinology in the Laboratory of Brain Behavior and Big Data at the University of Southern California. The applicant with work with PI and
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USC’s Information Sciences Institute (ISI), a unit of the university’s Viterbi School of Engineering, is a world leader in the research and development of advanced artificial intelligence
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conducting highly technical and complex research projects under the direction of Dr. Oldak. The scholar will also analyze research data, provide interpretations, contribute to the development of research
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letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, a current CV with recent publications, and contact information for three references
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Computer Engineering within the USC Viterbi School of Engineering. The ideal candidate will have an extensive background in one or more of the following areas: Information theory, structured statistics
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planning, geography, public policy, applied economics, or engineering. The ideal candidate will have background in urban freight research, strong skills in research design, data collection and management
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detector 3. Thermo Scientific Vitrobot in a humidity-controlled room 4. Essential tools for cryo-TEM grid preparation and storage High-performance computing resources for cryo-EM data handling/processing
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genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology. Through the Laboratory of FMRI Technology (LOFT) and Laboratory of Neuro
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generation data-driven stochastic and distributionally robust optimization methodologies or (ii) develop advanced fairness promoting stochastic optimization frameworks. In coordination with Prof. Shehadeh
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, signal processing, and data analyses. Experience with programming in MATLAB or Python is preferred, but not required. Experience with animal research is highly valued, but not necessary.