8 phd-computer-architecture Postdoctoral positions at University of Southern California
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advanced computing applications. The selected candidate will contribute to the design, prototyping, and testing of photonic devices and circuits aimed at enabling next-generation computing architectures
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs
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evaluates data sources, background information and/or technology related to area of specialization. Analyzes and evaluates research data utilizing computers and provides interpretations requiring significant
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team engaged in translational environmental health research. Our NIH-funded projects span environmental and molecular epidemiology, computational toxicology employing artificial intelligence
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meetings, seminars, and workshops hosted by KSOM. The enriched career development program will help early investigators develop essential skills for an independent research career, including grant and
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skills Conceptualization and design Organization Planning Problem identification and resolution Project management Research Statistical analysis Skills: Machine/Equipment: Calculator Computer network
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adolescents racial coping skills. Applicants should have a completed PhD in developmental, clinical or educational psychology, human development, education, African American Studies, computer science or a
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genetics. Proficiency in one or more programming languages (e.g. R, python), common analytic tools for genetic research (e.g. PLINK, SAIGE, imputation, etc.), and a Unix-based computing environment is