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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
learning process throughout the year. The trainees also interact in a more limited fashion with the other residents and fellows in our Pathology Department via joint conferences and clinical interactions
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strategies that modulate the crosstalk between tumor and immune cells, and develop new image-based screening technologies to identify targets that mediate clinically-relevant cell-cell interactions
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image processing (e.g., in Matlab), and Fourier optics are desirable. Knowledge of visual optics is not required, though beneficial. The project is supported by federal funding. Rank and salary will be
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generating data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS and CT-PET machines, X-ray radiation, XCELLigence, Seahorse, ultracentrifuge, Proteomics (Mass
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culturing and genetic manipulation of microbiota, immune cells, organoids, imaging and new microscopy techniques is a plus A record of innovative scientific accomplishments as evidenced by one or more first
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, process or discipline. May require experience with specialized software programs such as Matlab, image J, Imaris, etc. Additional Qualifications Considered The work environment is the laboratory. Physical
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our Advanced Research Concepts initiative . During the topic ideation process, Fellows work with program managers and other DARPA experts who serve as internal sounding boards. They engage closely with
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language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and alignment. AI Postdoctoral Research Fellows will be appointed through the Princeton
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET