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validation, digital twin frameworks are developed enabling a virtual assessment and optimisation of steel microstructures before they are produced. This programme is therefore essential for the future hydrogen
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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at the intersection of wireless communications, networking, embedded systems, and satellite technologies. Your research will contribute to the development of reliable, resilient, and sustainable
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If you are eager to perform cutting-edge molecular modeling to accelerate the development of green and low-carbon hydrogen technologies, then this is position is for you. Job description You will
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Welcome to Maastricht University! Are you passionate about cutting-edge molecular imaging, mass spectrometry and translational biomedical research? Would you like to contribute to the development
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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Listen Published Tuesday 1 Sep 2026 Deadline Sunday 20 Sep 2026 Work area Research, development, innovation Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary
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Can spectroscopy reveal how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive protection and follow their chemistry in real
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intelligence, micro-electronics analysis, and hardware security. The project focuses on developing AI-assisted methodologies for reverse engineering integrated circuits in order to support hardware assurance