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for downstream applications such as mapping, simulation, analyses and other related uses. This PhD investigates methods to transform raw 3D data into structured scene representations that integrate
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
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microsystems, mesoscale components, and printed electronic or structural elements, including those fabricated on flexible and/or biodegradable substrates, with transduction functionalities exploiting various
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, and the integration of compliance requirements into decision-making structures. It will combine doctrinal legal analysis with case studies and design-oriented methodologies in order to develop
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secondments, and structured training in transferable skills. The candidate will be enrolled in a recognized PhD programme and supervised by internationally leading researchers. The TRILOGY network focuses
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the structural and electronic properties of complex materials. Using first-principles simulations, machine learning techniques, and advanced Monte Carlo methods, the student will develop predictive
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construction inside the ERC-SWIM laboratory) to simulate the ice/ocean interface of Europa. The experimental tank will allow to progressively freeze the water from the top and to measure the dielectric
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connectivity across tropical coastal seascapes: community structure and biogeochemical function along spatial connectivity gradients in three ocean basins (MOSAIC) Where to apply Website https://szn.it/index.php
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immunostainer, Leica AT2 and Leica CS2 Slide Scanners, for Whole Slide Imaging, Zeiss Axio Imager 2 microscope equipped with Apotome.2 structured illumination and HALO (Indica Labs) software for advanced image
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conferences. Together, this structured training programme is designed to optimally prepare you for a successful career as cellular metabolism, micronutrient biology, and immune-metabolic research expert. If you