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) Application and further development of deep learning methods for automated object recognition and classification in point clouds and 3D data Establishment of a data processing pipeline for the efficient
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the engineering development and validation programme, bringing hands-on capability in 3D CAD and CFD modelling to support design iteration and to undertake aerodynamic and heat-transfer assessments
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on the School, please visit https://hkums.hku.hk/ . The Position Applicants are invited for one or more of the areas of expertise under the headings below. Interdisciplinary experience and expertise
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
developed. Subsequently, experimental and numerical studies are foreseen on materials that are more difficult to use in L-PBF see more here https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/01
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Emerging technologies, including AI-driven geospatial analysis Research on 2D/3D cartographic communications and data visualization The applicant is expected to innovatively develop and apply geospatial
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research and teaching interests align with one or more of the following critical areas: Computer Architecture – including In-/near-memory or in-/near-storage processing, circuit/technology impacts (e.g., 3D
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the framework of precision medicine. https://nastalylab.gumed.edu.pl THE RESPONSIBILITIES OF THE PERSON EMPLOYED IN THIS POSITION WILL INCLUDE: co-leading R&D activities related to the dynamic_DCIS_device