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. The Opportunity: We are seeking to appoint a talented researcher to the role of Postdoctoral Research Associate (PDRA) to work on The Leverhulme Centre for Algorithmic Life (LCAL). LCAL is a major new
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the project leader in the research project - “GNSS/5G/LEO Joint direct positioning: theoretical modelling, algorithm development, and performance evaluation in city areas”. Qualifications Applicants should have
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algorithms, prototypes, theoretical frameworks, tools, analyses, insights, or datasets that address critical aspects of our overarching research objectives. Apply: If you are excited to join our cutting-edge
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novel 3D modeling algorithms for near-surface characterization using curated geo-data. Contribute to the development of intelligent geophysical imaging algorithms. Publish high-impact research articles in
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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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staff position within a Research Infrastructure? No Offer Description DATE OF PUBLICATION 30 SEPTEMBER 2026 As part of the ERC Advanced Quantum Algorithms, a PhD position in the Gull group
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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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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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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
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 13 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