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Field
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Prof. YAN Shuicheng from the Learning and Vision Lab at the School of Computing, National University of Singapore is exploring e-AGI: Efficient, Embodied, and Evolving. We are seeking creative
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The Centre for Quantum Technologies at NTU invites applications for a Research Fellow position in Quantum-Enhanced Learning, Agents and Algorithms. The successful candidate will conduct independent
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Science or related field At least 3 years of relevant experiences in a similar role with hands-on experience in AI algorithms, including experience gained during PhD Familiarity with neuromorphic computing and AI
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Université de Versailles Saint-Quentin-en-Yvelines (UVSQ) | Versailles, le de France | France | about 3 hours ago
27 Sep 2026 Job Information Organisation/Company Université de Versailles Saint-Quentin-en-Yvelines (UVSQ) Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2
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: Nonexempt Work Schedule: Flexible Summary The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 11 hours ago
algorithm performance. You will analyze assignment data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and
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This research aims to design a sustainable framework for optimizing distributed computing systems to enhance performance while minimizing energy consumption. Existing scheduling algorithms often
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Temporary Microcredential Online Course Instructor: AI Literacy and Policy Fundamentals: Understanding and Mitigating Algorithmic Bias Location: Remote (U.S. based only) Division: Rabb School
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to publications in top-tier international conferences and journals, as well as real-world implementations. The role includes designing novel algorithms, building robust software systems, and collaborating with
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abdominal symptoms. Standalone clinical indicators like CA125 or traditional screening algorithms (e.g., ROMA) frequently produce ambiguous results or lack sufficient sensitivity for early detection