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Field
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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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, and
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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characterization platforms, state-of-the-art microscopy resources, and computational tools for systems biology approaches. The position emphasizes rigorous mechanistic investigation using both in vivo (C. elegans
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involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
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, Chemistry, Engineering, preferably in an area involving Raman spectroscopy (Applicants in the process of Ph.D. submission will be considered.) • Knowledge of Raman spectroscopy instrumentation. • Strong
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(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging
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-of-the-art microscopy resources, and computational tools for systems biology approaches. The position emphasizes rigorous mechanistic investigation using both in vivo (C. elegans) and in vitro (purified
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 1 month ago
the Cancer Biology & Genetics Program. Learn more about working as a Post-Doctoral at MSK: What distinguishes this opportunity is you will gain access to high-quality facilities, innovative technologies