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of Orthopaedic Surgery is conducted by a diverse group of faculty, staff and trainees with expertise in biology, engineering, health outcomes, and healthcare. Our research teams are focused on improving treatment
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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
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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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. Follow and maintain laboratory protocols and procedures. Required Qualifications* PhD degree in Biomedical Engineering, Pathology, Bioinformatics, Electrical Engineering or a related field. At least 5
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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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degree in computer science, information technology, engineering, health informatics or a related field; Research expertise and strong background in one or more of the following areas: Computer programming
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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gene editing, single cell RNA sequencing, bioinformatics, genetic engineering in mice, intravital microscopy and other imaging modalities, and a number of cell and molecular techniques. For more
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harnessing innovative synthetic biology, microbial engineering, and drug delivery approaches for improving human health in a sustainable manner. Currently, three directions are being explored: (1) engineering