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on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit
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analysis for more geometries and with a reduced number of sensors - Implementation of the MSE method on a cylindrical structure immersed in water and sensitivity analysis - Algorithmic and experimental
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nature. The PhD candidate will focus on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order
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for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated
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The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: 3 PhD Candidates in Generative AI for Industrial Design Engineering (GenAIDE) Project Why apply
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23 Aug 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description [Background
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: 3 PhD Candidates in Generative AI for Industrial Design Engineering (GenAIDE) Project
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potential progression once in post to £87,974 Grade: 9 Full Time, Permanent Closing date: 25th September 2025 UK and International travel may be required for this role. Academic Development Programme - new
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Responsibilities: The successful applicant will be responsible for: Obtaining theoretical results at the interface of geometry and biophysics Designing, implementing, and testing algorithms to model active matter