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: 'digital twin' forests. Within your work, you will: (1) use 3D terrestrial laser scanning data to further develop the creation and implementation of digital twins of forests for optical and microwave
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(ESEE) conference at the Faculty in June 2026. The specific topic for the doctoral dissertation will be co-developed during the first 6 months of the position within the research lines of the supervisors
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: the aluminum oxide layer is fully recyclable. As a PhD student, you will contribute to the development of multiphysics (electromagnetic & thermal) models for windings of electric motors. Also, you will study how
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to the development of neuroadaptive learning technologies grounded in real-time human feedback. Job profile We are looking for a highly motivated PhD candidate with a recent Master's degree in engineering and a strong
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genotype–phenotype correlations, characterizing disease progression, and exploring early disease changes. This knowledge is crucial to improve prognosis, patient care guidance and support the development
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. The PhD fellow will (1) conduct terrestrial laser scanning fieldwork across a range of ecosystems; (2) contribute to the development of new methods to analyse multitemporal 3D data from terrestrial laser