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Field
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large arrays are individually controlled, interrogated, and even entangled with other atoms. We seek to leverage the many-fold technical QIS advances to develop new algorithms for optical clocks as
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to actively drive research projects to predict clinically important endpoints using your knowledge in algorithm development. You will be part of a growing, interdisciplinary team and join weekly
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molecular targets critical for developing new therapies for rare diseases, based on genetic data and biological system simulations. -Computational Drug Repurposing: Developing novel algorithms and databases
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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genetic counseling and targeted drug therapies to a growing array of minimally invasive procedures, Cedars-Sinai continues to stand at the forefront of technology, innovation and discovery improving patient
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standards. Key Responsibilities: Course Development and Delivery: Design and teach course material focusing on key topics, including an overview of AI, machine learning, and data science; algorithms and data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
development of statistical and artificial intelligence algorithms for the analysis of high-resolution histology images. The Research Specialist will contribute to the development of novel computer vision
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
algorithms for the analysis of high-resolution histology images. You will contribute to the development of novel computer vision algorithms that aim to solve specific translational or scientific questions in a
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nervous system to date in an organism uniquely suited to combine this anatomical information with functional imaging, electrophysiology, quantitative behavioral assays, precise genetic manipulation
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, and neighborhoods. Often, the effects of these transformations are hidden from clear view, occurring in the black box of the algorithm or the board room. This invisibility leads to the misperception