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, electrical engineering, computer science, medical imaging, applied mathematics, or a related discipline 1 to 2 years of experience in medical imaging analysis Technical understanding of imaging DICOM standard
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-institutional, NIH-funded research initiative within the Computational Microscopy Imaging Lab (CMIL) focused on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling
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, or similar field and three years of experience. Job Description: The Computational Microscopy Imaging Lab (CMIL), within the Department of Medicine, is seeking a highly experienced and strategically minded
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learning, deep learning, imaging informatics, and large language models (LLM) is preferred. Prior working experience with popular ML packages, e.g., PyTorch, Scikit-learn, TensorFlow, Pandas, Keras, NumPy
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Classification Title: Research Software Engineer IV Classification Minimum Requirements: A Bachelor’s Degree in computer or physical science, statistics, bioinformatics, analytics, or similar
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research methodology and grant development processes. Ability to work effectively both independently and as part of collaborative research teams. Excellent organizational and communication skills for program
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Classification Title: Assistant/Associate/Full Professor Classification Minimum Requirements: a Ph.D. in computer science or related field Expertise in AI/ML, deep learning Expert proficiency in
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molecular biology, biochemistry, and/or RNA biology techniques • Experience with immunohistochemistry, immunofluorescence assays, RNA imaging assays and experience with image acquisition (fluorescence
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biology assays (nucleic acid isolation, PCR, western blot, molecular cloning), RNA imaging techniques, immunofluorescence assays, and fluorescence microscopy. The biological scientist will also be
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, data science, robotics, biophysics, computer vision, advanced imaging, multi-omics, chemical biology, and synthetic biology. We invite applications from innovators developing transformative technologies