10 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Southern California in United States
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interest in the program — please indicate explicitly which theoretical and experimental techniques you bring Names and contact information for three references PDF of one representative publication
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The Application Specific Intelligent Computing (ASIC) Lab at USC’s Information Sciences Institute (USC’s ISI) invites applications for a post-doctoral position in Silicon Photonics, with a focus on
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transport, FMR, and high-frequency lock-in measurements. Program role Design and lead validation experiments at the major program decision gates, co-author theory and experimental publications, and contribute
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techniques within the framework of the research program. To contribute to relevant teaching activities within the department. To undertake any other duties relevant to the program of research. Qualifications
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to advance the research program Be responsible for teaching techniques to other lab members Serves as a project liaison between the lab and its collaborators Maintain accurate research records and ensure
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in the ARPA-H EVIDENT TA-1 EVIDENT-MAP / SENTINEL project — a clinical research program investigating the mechanisms and outcomes of psychedelic-assisted therapy and contemplative practice
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, experience in preclinical studies using leukemia mouse models is required. In addition, the candidate should have a strong background in cancer biology, immunology and computational biology, bioinformatics
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specialization. Analyzes and evaluates research data utilizing computers and provides interpretations requiring significant knowledge of a specialized area of research. Searches literature, utilizing all available
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information science, quantum optics, quantum many-body systems. This position is a full-time one-year appointment, with the option of renewal for a second year by mutual agreement. The earliest start date is May 1
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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