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Systems Technology (CST) section of the Department of Mechanical Engineering. The members of this group conduct research on model- and synthesis-based engineering of supervisory controllers, mostly using
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
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on the development of new antenna and integrated circuit concepts for radar and electromagnetic modelling. The Electromagnetics (EM) and Integrated Circuit (IC) groups are involved as well as the Center for Wireless
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Industrial Engineering, with specialization in hydrogen supply systems,you will join a research group dedicated to large-scale hydrogen supply and storage systems. The aim is to develop thermodynamic models
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systems research group, both of which have strong track records in 6G wireless systems, AI algorithms, air mobility systems, and industry collaboration. The project will deliver new beamforming antenna
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use of hydrogen at sea. you will join a research group dedicated to large-scale hydrogen supply and storage systems. Duties Your work will include among others: Thermodynamic modeling and time-dependent
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. Research focus We welcome candidates with a strong interest in developmental biology, organoid technology, and disease modelling. This position is part of the EU-funded Marie Curie doctoral network (VISI
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of CLR, departmental, and University activities, including seminars, teaching, and interactions with a range of research groups. The successful candidate will make a key contribution to the assessment
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projects in malaria and mathematical modeling of diseases will be considered as positive Understanding of East African health systems is an advantage The candidate should demonstrate the ability to work
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any other degree with major in health economics. Specialisation in methods of economic evaluation is an advantage. Experience from relevant research projects in malaria and mathematical modeling