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- Istituto Italiano di Tecnologia
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real
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, J., Mattos, L., “Hybrid Visual Servoing for Autonomous Robotic Laser Tattoo Removal,” Proceedings of the 2019 IEEE International Conference on Intelligent Robots and Systems (IROS 2019), https
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additional data to strengthen the monitoring and analysis of regulatory risk, inform the calibration of capital requirements frameworks, and provide an empirical basis for scenario analysis and stress testing
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysis and Evaluation of Health Systems Where
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digital public service use in older age- E-INQ. A quantitative study based on the analysis of secondary experimental and survey data Where to apply Website https://www.unimib.it/lavora-noi/contratti-ricerca
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against falling from heights in working environments. This includes modeling, simulation and design of passive self-locking mechanisms and joints, FEM analysis on mechanical components, CFD analysis of flow
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rendering, Gaussian splatting, etc.). Knowledge of graph neural networks. Experience in deploying and fine-tuning DL models, also large language or vision-language models. Practical experience on deploying ML
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theoretical research on business economics, innovation dynamics, new technologies and their diffusion, with particular attention to the process of digitalization and its impacts.In terms of empirical analysis
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metagenomics analysis in deep horizons". A postdoctoral researcher will investigate surface-enhanced Raman scattering (SERS) spectroscopy using metal nanosensors to characterize organic carbon extracted via
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-time analysis of the VIRGO experiment Where to apply Website https://www.unimib.it/lavora-noi/contratti-ricerca/contratti-ricerca-posizioni-… Requirements Additional Information Eligibility criteria