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We invite applications for a Doctoral student position in applied mathematics and machine learning for urban 3D reconstruction, within the Digital Twin Cities Centre (DTCC). The project aims
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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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learn to combine modern analysis techniques like Morawetz estimates with Penrose's Nobel prize winning geometrical insights and formalisms, intricate symmetry operators, spinor techniques and powerful
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, and high-performance computing. About the division and department With more than 30 faculty members, more than 100 PhD students, and more than 300 employees, the Department of Microtechnology and
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PhD students, and more than 300 employees, the Department of Microtechnology and Nanoscience also includes one of the largest cleanrooms in European academia. The Microwave Electronics Laboratory
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researchers develop new machine learning (ML) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division , our group
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with catalysis/photochemistry Programming skills using Python and MATLAB Analysis of complex scientific data through machine learning What you will do Plan experiments together with your supervisor and
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This PhD project covers a broad range of research topics in network security, with priority given to candidates interested in the network-layer security challenges of distributed systems like
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– from materials design and processing to machining, mainly of metals. Our expertise spans powder metallurgy, electroplating, additive manufacturing, and material removal, combined with advanced