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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of Engineering. Key responsibilities include the design and implementation of novel AI-driven goal-oriented semantic communication strategies, signal processing algorithms, performance optimization methods, and
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, and resource optimization studies to address real-world sustainability challenges. Explore emerging technologies, frameworks, and practices to advance sustainable solutions in industries. Industry
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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therapeutic targets associated with the response to new antitumor agents. Participation is also expected in the implementation and optimization of experimental methodologies, the integrated processing and
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stratification methods to personalize treatment for individual patients. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process
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Center, Nashville, TN, USA https://medsites.vumc.org/choksi-lab Position Type: Full-time Position Summary We’re seeking an intrinsically motivated and highly skilled Postdoctoral Research Fellow to join
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interdisciplinary scholarship and be excited about substantial conversation and collaboration with other disciplines. This postdoctoral fellowship program aims to create a cohort of researchers optimally positioned
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video, or click here to open video) About the position We are looking for a PhD research fellow within anode materials and anode-electrolyte interphase optimization for sodium ion battery. Are you
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synthesis of timed and probabilistic behavioral models for model checking, performance evaluation, and optimization. The overall objective is to establish formal foundations that bridge static engineering