16 parallel-computing-numerical-methods Postdoctoral positions at University of Southern California
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Responsibilities Lead photonic integrated circuit (PIC) design and simulation using commercial tools. Contribute to novel photonic computing architectures including optical in-memory and
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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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research in the relevant discipline area using the appropriate methods and/or techniques. To produce research reports and/or publications as required by the funding body or for dissemination to the wider
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computing environment is required. Prior experience in statistical or population genetic method development is desirable, but not necessary. Passion to learn about human population genetic research and to
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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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medical imaging, clinicians currently lack a method for directly visualizing the microscopic anatomy and function of the living human cochlea. MRI and CT remain the clinical standards but lack the spatial
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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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: Directly related education in research specialization with advance knowledge of equipment, procedures and analysis methods. Job ID REQ20173665Posted Date 07/28/2026 Current employees apply here
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Education: Ph.D. required. Background: Experience in molecular and developmental biology. Lab Techniques: You will use and train on advanced methods like DNA/RNA isolation, RT-qPCR, Flow Cytometry
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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