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Field
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing
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Systems, and Mathematical Medicine & Biology, as well as interdisciplinary research in Scientific Machine Learning and Data Science. Candidates should indicate in their cover letter the name(s) of
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and machine learning methods and wide collaborations with experts from different fields. Key responsibilities for the postdoctoral associates include multi-omics data analysis, novel method development
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About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a
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to accelerate predictions and for multiscale modeling via machine learning force fields. This research will focus on applying a range of computational tools to realistic material systems, including
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utilizing computational approaches including machine learning models, image analysis pipelines, and bioinformatics analyses; Designing and conducting experiments integrating microscopy, transcriptomics, and
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of atmospheric organic reactions. AI-augmented molecular simulations: developing and applying machine-learning force fields and state-of-the-art enhanced sampling to reveal interfacial and multiphase
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, and/or machine learning approaches for prediction and causal inference—to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who
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actively promoting research that leverages big data to explore the universe, alongside cutting-edge developments in data science using artificial intelligence and machine learning. At the same time
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, machine learning, data science, drug discovery, and related fields are encouraged to apply. Strong computational backgrounds (AI/ML foundation models), proficiency in at least one programming language