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Field
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an advantage. Undergraduate research experience is a merit, but not a requirement. We are looking for enthusiastic people to join our interdisciplinary research group. You should enjoy working as part of a team
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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ecology, dynamics and behaviour. You will use results from ongoing entomological research in these countries to develop and use a range of models to estimate the contribution of An. stephensi relative
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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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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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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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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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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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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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. 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