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collaboration with the Principal Investigators. More specifically, the individual will: ● Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; ● Create data
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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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changes in sensory coding. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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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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outstanding opportunities for continued scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial
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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