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control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
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. fluorescence imaging, molecular biology, cell culture, immunohistochemical assays, circuit manipulations, mouse surgery or behavioral assays) and electrophysiological recording (in vivo extracellular recordings
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learning with a focus on medical imaging, and programming with one or more of the major deep learning packages (PyTorch, TensorFlow, Caffe, etc.) is desired. Application Process Please upload the following
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an environment of interdisciplinary collaboration. Our areas of expertise include animal health, imaging and diagnostics, infectious disease, cancer, and orthopaedics. The department is highly interactive and
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hands-on experience with advanced techniques, including patch clamp, optogenetics, fluorescence imaging, auditory brainstem response (ABR), stereotaxic surgery, RNA-seq, and computational modeling
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candidates] Design and develop prototype and testbed systems that will be deployed to community partners and stakeholders. All candidates will be expected to support the evaluation and assessment of deployed
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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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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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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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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