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Field
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algorithmic performance. For instance, the scheduling problems that an electric grid operator faces will change daily, but not drastically: although demand will vary, the network structure will remain largely
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contribute to the growth of the nursing science field through grant submissions, continued education and networking. Position Status Full Time Posting Number 25FA0634 Posting Open Date Posting Close Date
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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on addressing longstanding healthcare and educational disparities for children with developmental delays and disabilities, their families, and their communities through NIH-funded projects which are currently
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; Ability to perform independent, original research in machine learning, modeling/communication engineering/network engineering, as evidenced by publications or thesis works; Knowledge of current
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at the systems level – from molecules and cells to organs and the entire organism. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries
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conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Possessing a
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. Under the mentorship of the PI Dr. Karen Chen, the postdoc will collaborate with the MedRIN network to disseminate findings enhancing innovation, rigor, and open access for scientific communities in
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games, and autonomy. They will join a project on enhancing safety and resiliency in autonomous vehicles that use Artificial Intelligence, including Large Language Models. Possible topics specific to AI
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to work in a team environment. • A solid knowledge of plant genomics, evolution, gene expression/regulation, and biological networks • Excellent oral and written communication skills with