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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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of American Universities. Connections working at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/21881217/researcher-x2f-program-officer-membership-network-relations Return
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or spike correlation patterns limited to local neural circuits or span across brain regions? Set up a network model to reproduce the main results and provide potential neuronal mechanisms. Existing
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strive for the highest level of complex care for children from diagnosis and treatment; provide outstanding education and training for students, postgraduate scholars, and physicians; and nurture the
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We are seeking a Project Manager to work on an exciting and innovative project ‘Artificial Intelligence Researcher Development Network Plus (AI.RDN+)’ funded by Research England. You will be based
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the department focuses on the strategic, tactical, and operational design and execution of organizational systems. We study the complex dynamics of real-world operations across industries, drawing on rich
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and logistical success. Events Management & Public Engagement: Take primary responsibility for organizing and executing high-profile conferences, dynamic speaker series, and essential networking events
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diversity as well as study environment Inclusion into the WASP-HS graduate school, building an academic network with other humanities and social science scholars working at the nexus of AI and society Help