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perform molecular level diagnoses for precision medicine. About Dr. Jovanovic-Talisman: Tijana Jovanovic-Talisman, PhD is an Associate Professor in the department of Cancer Biology and Molecular Medicine
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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specific interest in knee osteoarthritis. This work involves electrophysiology, calcium imaging, in situ hybridization, immunohistochemistry, neural circuit tracing, and behavioral analysis. The laboratory
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Program and will work closely with the staff of the Image Collection and Fieldwork Archives (ICFA) to process the Justin Kerr Collection, which consists of photographs of approximately 6,000 unique
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collections, Dumbarton Oaks’ Image Collections and Fieldwork Archives (ICFA) holds more than a million unique items in a variety of media, including extensive material relating to the language and ceramics
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* Experience in one or more of: AAV/vector biology, in vivo gene delivery, mouse models/surgery, single-cell/spatial transcriptomics, ATAC-seq, microscopy, quantitative imaging, computational analysis (R/Python
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(kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis. The Herman B Wells Center for Pediatric Research
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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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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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is expected that the postdoc in this position will seek funding (e.g., an NIH NRSA award) for continuing the position after the first year. Applicants must have completed the PhD by the date