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Algorithms for Agro-industrial, Health, and Environmental Sustainability, within the FAPESP Center for Research and Innovation on Smart and Quantum Materials (CRISQuaM). The project aim to develop quantum
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systems, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias
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functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/403869/research-fellow-ai-… Requirements
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, Rprogramming and developing statistical packages. Specific Requirements Candidates must have proven experience developing and maintaining R packages, solid skills in ML algorithms, and familiarity with
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1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD position 2 will focus on designing scalable
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to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be
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to pioneer novel research opportunities enabled by one of the brightest sources in the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal
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stakeholders in the Dutch battery ecosystem to develop and demonstrate the next-generation algorithms and models for the future Battery Management System. The PhD student will work on topics related to: Develop
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Liu at UA Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field