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The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in...
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The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in...
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Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home
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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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concepts underlying the GIG into efficient data structures and algorithms. Your work will also involve developing algorithms to manipulate and analyse GIGs, creating efficient methods for translating GIGs
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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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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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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 14 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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on the mathematical theory of deep learning as part of the joint NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks