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Development of innovative experimental model systems for mechanistic investigation and translational validation of microbiome-mediated processes Advanced AI and machine learning frameworks for integrative multi
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information science at the Bachelor and Master levels. This may include courses in information science foundations, programming, artificial intelligence, machine learning. In addition, the candidate is expected
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or industry equivalent work at a computing facility, or using/managing HPC resources Experience working with large scale machine learning models Experience with performance optimization, debugging, and
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Department of Biological Sciences Required Qualifications: • Ph.D. in marine biology, zoology, ecology, evolution, or a related field • Postdoctoral research experience or equivalent • Research experience in
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research data and computer allocation management; developing and implementing research group operating procedures as appropriate. Responsibilities Assist in management of graduate students and postdoctoral
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scholarly independence. Candidates with strong backgrounds in Operations Research, Machine Learning, Data Science, Computer Science, Economics, or related fields are encouraged to apply. In compliance with
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in undergraduate and/or graduate level courses in Computer Engineering or any related areas • At least one year of Postdoctoral experience especially in the following areas: Networks and Systems
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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with machine learning approaches Knowledge of muscle mechanics (Hill muscle model or similar) Previous work on simulated bodies or animal locomotion Your Role You will work collaboratively with a
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to build the strongest possible university with the widest reach. To learn more about the Arts & Science commitment to inclusive excellence, please read here: https://as.nyu.edu/departments