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following areas: -Biophysical instrumentation development: optical and mechanical design, simulation, development and control -Optical imaging; Single-molecule fluorescence and FRET; Lasers; Pump-probe
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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complex datasets (e.g., imaging, molecular, functional readouts) and clearly communicate findings. Present experimental results and project updates at internal meetings and contribute to data-driven
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complex datasets (e.g., imaging, molecular, functional readouts) and clearly communicate findings. Present experimental results and project updates at internal meetings and contribute to data-driven
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work outside of his/her discipline to accomplish project goals. · Experience with flow cytometry, immunofluorescent imaging, confocal microscopy, ELISAs, and PCR. · Experience with microfluidics
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development, genetics, cell polarity, tissue mechanics and multidimensional image analysis are encourage to apply. Our group investigates cell behaviors in live embryos to address fundamental questions about
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text to power next-generation precision medicine. Statistical and computational genomics across diverse
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computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
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studies of brain aging and maintenance, and their relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker