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: You will be responsible for the sensor system and the perception algorithms of an autonomous mobile robot. You will engage in research around deep learning and 2D/3D computer vision for a well-defined
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head-on. We will reinvent generative cooperative vision and semantic compression methods so fleets of intelligent machines can perceive the world robustly, efficiently, and in a trustworthy manner—even
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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and
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systems, and infrastructure development, contributing approximately £100 billion to the UK’s GDP. While emerging 3D printing (3DP) technologies offer promising opportunities for product individualization
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for culture and creative domains. These domains may include sound, music, visual art, 3D graphics, movement, or multimodal combinations thereof. The research will employ a mixed-methods approach: the search
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maps and model building. You should have a Ph.D. and have more than 2 years of experience in cryo-EM data processing and 3D map generation. You will work under the guidance of Dr. Maria Schumacher on a
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tools (e.g., drones, 3D mapping) for high-resolution geological mapping and rock mass quality assessment. Develop and calibrate numerical models using field data and case studies to simulate various
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application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
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meet the requirements for admission to the faculty's Doctoral Programme (Phd - NTNU ) Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics
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electron microscopy analysis, Raman spectroscopy, fluid inclusion analysis, potentially appropriate petrochronological methods, and 3D geological modelling. The project will be conducted in partnership with