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Field
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community. Qualifications: Applicants should hold a Ph.D. degree in Operations Research, Computational Science, or a related discipline. Strong past experience in algorithm design, analysis, and
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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foundations, focusing on the structure and complexity of quantum computational models; (ii) optimization and related graph-theoretic methods, using polyhedral geometry and algorithmic optimization (e.g., vertex
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locus-specific regulatory dynamics. This project addresses these challenges through an integrated computational and biological framework that develops advanced multi-read allocation algorithms leveraging
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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Applications are invited for a Postdoctoral Research Associate in the Department of Computer Science with a particular emphasis on the design and performance analysis of resource allocation
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genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption of the methods. The project is carried out in close
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The Role Applications are invited for a Postdoctoral Research Associate in the Department of Computer Science with a particular emphasis on the design and performance analysis of resource allocation
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applications for a Post-Doctoral Associate position, in the area of Quantum Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects of quantum