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ricerca scientifica, di Fascia 1 presso la Sezione di Genova dell’INFN- 12 mesi eventualmente prorogabile: Development of the system test and qualification of pixel detector sensor for the high-luminosity
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techniques for analyzing data collected from hardware sensors installed on electrospindles and the development of models for calculating the spindle’s remaining useful life. The contractor will explore topics
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learning methods and statistical analysis, to effectively exploit data collected from sensors and acquisition systems. Particular attention is devoted to algorithm robustness, uncertainty management, and
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and
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) using empirical methods such as ground-motion prediction equations and observed data. Feasibility study for a low-cost sensor network aimed at characterizing the variability of ground shaking at the urban
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nell’ambito della ricerca tecnologica di Fascia 2 presso la Sezione di Torino dell’INFN Where to apply Website https://www.ac.infn.it/ Requirements Additional Information Eligibility criteria Eligible
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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of an Energy harvesting system" -This project assesses the feasibility of powering monitoring, diagnostic, and safety sensors in the railway sector, using multi-source energy harvesting (EH). It aims to develop
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OPEN APULIA Patti Territoriali per il sistema universitario pugliese 2022 | Italy | about 2 months ago
The development and integration of precision livestock farming tools represent a key element for optimizing and designing predictive models aimed at monitoring animal welfare. Available technologies and sensors
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. The approach will integrate generative models with physics and manufacturability constraints to co-design the component geometry, sensor layout and edge electronics. Where to apply Website https://www.poliba.it