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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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, COBie) and common data formats (e.g., RVT, DWG); and (e) preferably have experience in computer graphics, 3D geometric algorithms, or WebGL development. Applicants are invited to contact Prof. John W
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About the role: This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure
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interaction methods. Experience in algorithmic human-robot interaction, learning, control, and/or manipulation is required. This position will be advised by Prof. Pam Qian (primary) from the University
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The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
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. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also expected
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Computational Complexity Theory School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Or Meir, Dr Swagato Sanyal Application Deadline: 31 January 2026 Details
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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aligned with the ERC project Quantum Algorithms 20% Familiarity with computational quantum many-body theory as required within the ERC project Quantum Algorithms 20% Familiarity with the GREEN open source
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life