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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E. V., Chades, I., & Dezfouli, A. (2022, June). Optimizing sequential experimental design with deep
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Antenna Design: Developing innovative antenna systems compatible with metal detector coils, optimized for tasks such as minimum-metal landmine detection and deep object detection. Low Power, Compact
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and sea-ice model in collaboration with project partners. Refine and optimize the coupled ACCESS-OM3-ISSM model for improved computational performance and numerical reliability. Collaborate
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recruitment, admissions, student services, alumni engagement, and advancement to further the goals of the new Student Management System Transformation (SMST) program. In this pivotal role, you will provide
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university. Skills & Experience: Proficiency in programming with PL/SQL and Java, with experience in frameworks and tools for developing and deploying Java applications. Deep knowledge of AWS compute services
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business priorities. This includes managing and planning data storage and backup systems to agreed service levels; creating, improving, and supporting the optimal utilisation of storage resources; ensuring
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. This role involves collaborating with educators and program leaders to ensure compliance with RMIT policies and TEQSA requirements while developing optimal pathways for students. Key responsibilities include
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a
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, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative research challenges in: dynamical systems differential games optimal control numerical