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learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows for crafting
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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
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Intelligent Thin Film Manufacturing; routes to responsive slot die coating. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Jonathan Howse Application
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We are the research groups “Tectonics and Sedimentary Systems” of the Institute of Geological Sciences at the Freie Universität Berlin under the direction of Prof. Dr. Alexander Webb and Prof. Dr
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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: Quantum Algorithms, Blockchain, High-Performance Computing, Algorithm Implementation *About Prof. Jintai Ding Prof. Jintai Ding is a globally recognized leader in post-quantum cryptography. He was one
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary: The Researcher-5 will lead the effort and collaborate with graduate students and Signals-and-Systems UMN-ECE
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original research in asymptotic, algorithmic and/or probabilistic combinatorics, with particular focus on hypergraphs. Collaborate on research problems with the project team (Prof. Greenhill, Dr Isaev, A
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UKRI under Grant Reference EP/X026167/1. In this role, the successful candidate will collaborate with QSL’s team of researchers to design and implement variational quantum algorithms, resource estimation
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. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will