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for the realistic simulation of space images. The work lies at the intersection of computer graphics, space engineering, and autonomous GNC systems, addressing the image rendering needs for lunar landing, in-orbit
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he will assess different finite element schemes for the accurate and efficient solution to the estimation problem. The candidate will also explore numerical/statistical approaches for the uncertainty
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | 27 days ago
at the timely recognition of errors and anomalies. In particular, a computer vision system based on a network of cameras will be developed for the real-time 3D reconstruction and understanding under
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research, personalized medicine, and computer-assisted pathology. The candidate will lead the efforts related to the development of statistical models for the spatial analysis of transcripts and cells. Where
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heterogeneity in the economic and demographic impacts of climate change. Responsibilities in the Project: • Coresponsibility for the research line concerning the estimation of the spatial effects of climate
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. Interested parties must submit the application submitted through the computer procedure available at the link on the University website no later than 23.59 (Italian time) of 12.11.2025. Where to apply Website
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Sciences, Examination area: 05/BIOS-05 – Ecology, Scientific branch BIOS-05/A – Ecology. Working place Ancona. Interested parties must submit the application submitted through the computer procedure
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rates, supporting the estimation of residual service life. Where to apply Website https://aap.univ-pau.fr/details?view=programme&cid=33 Requirements Research FieldArchitectureEducation LevelMaster Degree
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including D-branes, Black Holes, Gauge/string theory duality, Phenomenological String theory/M-theory; Particle Phenomenology including Physics beyond the Standard Model, Dark Matter, Axions, Higgs and
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software architecture designed to support advanced human behavior and posture monitoring systems in indoor environments, based on computer vision and artificial intelligence techniques. The goal is to design