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and the role of p21 based cellular senescence regulating these processes. The research program integrates bone tissue regeneration, vascular biology, and skeletal biology with an emphasis on molecular
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record
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* Experience with image analysis or medical imaging Established record of peer-reviewed scientific publication Prior experience / comfort with computer programming is a plus Modes of Work Positions that
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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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troubleshooting. Familiarity with single-cell/spatial pipelines and basic informatics (R or Python).
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, CRISPR genome editing, CUT&RUN/ChIP, scRNA-seq/scATAC-seq, super-resolution/expansion microscopy, calcium imaging, proteomics, hydrogel fabrication/characterization, bioprinting and computational modeling
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness
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Flatiron Research Fellow, Developmental Dynamics, Center for Computational Biology Description The Center for Computational Biology (CCB) of the Simons Foundation 's Flatiron Institute is actively