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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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, which in turn will be used to engineer highly specialized neuronal cellular subtypes for cell transplantation therapies. To achieve this goal, the candidate will combine a gene network-based approach with
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and
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the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal
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signaling cascades that are integrated through dynamic and context-specific networks driving the cellular responses. Given the complexity and dynamic state of signaling networks, the current understanding
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or equivalent Skills/Qualifications Development and implementation of quantum algorithms applied to biological networks of Alzheimer's disease. Design of gene perturbation models using Quantum Reinforcement
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journals; - Participate in the life of the Center, contributing to scientific meetings; - Develop collaborations within the CBG network; - Offer short courses or minicourses; - Interact with graduate
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reputable international journals; - Participate in the life of the Center, contributing to scientific meetings; - Develop collaborations within the CBG network; - Offer short courses or minicourses
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technical excellence at the service of education, research, and innovation. As part of the project led by the SOTERN team in connection with the CREACHLABS grant—which aims to reconstruct, at the network
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of/on networks with higher-order interactions. This will be in collaboration with an NSF-funded ASU-UCLA team using ants as a model system and developing theory to characterize dynamic processes on networks as