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Field
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work will involve designing advanced deep learning algorithms and high-throughput workflows for longitudinal patient trajectory modelling, incorporating clinical variables, diagnostic imaging, digital
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& Quantum Algorithms Prof. Pilkyung Moon (NYU Shanghai) – Graphene, Twistronics, Novel Topological Materials Website of our team https://sites.google.com/view/sm-cheon-group-homepage/home https
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Neckarsulm, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. @Fakultät@-Plakat-A4-hoch
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Disse), the Chair of Geoinformatics (Prof. Thomas H. Kolbe), and the Chair of Algorithmic Machine Learning & Explainable AI (Prof. Stefan Bauer). The project aims to develop an integrated urban flood
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A two-year postdoc position is available in the research group of Algorithmic Cheminformatics at the University of Southern Denmark (SDU). The position is in an exciting 6-year project supported by
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and compilation algorithms; (c) evaluate the performance of the proposed approaches; and (d) perform any other duties as assigned by the project leader, the Head of Unit or their delegates
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21 Aug 2025 Job Information Organisation/Company University of Southern Denmark Department The research group in Algorithmic Cheminformatics at the Department of Mathematics and Computer
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
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on rapid and accurate quantification of disasters using remote sensing and space geodesy. They will also advance InSAR processing algorithms to optimise change detection capability in Southeast Asia, where