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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 24 hours ago
these values and is comprised of diverse networks nurtured through deep and sustained engagement. Read more about RegNet: http://regnet.anu.edu.au/ About the opportunity We are seeking a talented and energetic
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technical infrastructure, including data centers and communication facilities; wired, wireless, and in-house cellular networks; spectrum management; communication; audiovisual services, complex device
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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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team resolving complex issues and providing specialist advice. 2. Build and maintain effective mutually beneficial relationships from the initial employer enquiry to proactively seeking feedback from key
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to expand networks, strengthen community ties, and elevate UAF’s fundraising success. Success in this donor-facing role requires initiative, strategic thinking, and exceptional relationship-building skills
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industrial engineering of similar Interest in the practical testing of catalysts in laboratory-scale pilot plants Enjoyment of exploratory work with great scientific potential Ability to analyse complex
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of complexity in collaboration with their direct supervisor. The analyst brings deep analytic and financial management skills to focus on Marin Health Medical Network (MHMN) to guide decision-making and develop
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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