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component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
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multi-omics data and the use of machine learning and data science techniques. Strong publications record according to his/her career stage. Skills: Excellent programming and scripting skills, with deep
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Expertise: Familiarity with supervised/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g
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for students with disabilities and providing disability support and resources. The vision of DRS is to envision a learning community that values people with diverse abilities and demonstrates through its actions
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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working at NYU please visit our website at: http://www.nyu.edu/about/careers-at-nyu.html. NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu
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business day, and they focus exclusively and intensively on their clients, cases, and projects. This model allows for highly intentional, reflective, and iterative work and the ability to provide deep
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are Human Anatomy and Physiology, upper-level courses in the candidate's area of expertise, and involvement in the Foundations in Biology sequence. There will also be opportunities to teach the University's
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the CXCR4/SDF-1 axis. Blood. 2016 Sep 22;128(12):1609-13. doi: 10.1182/blood-2016-04-709519. Epub 2016 Aug 1. PMID: 27480113 Free PMC article Kipps et al. Chronic lymphocytic leukaemia. Nat Rev 2017 https
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decision-making in multi-agent autonomous systems by leveraging and combining deep-learning based motion predictions and optimization-based motion planning. Key research questions include multi-modal