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- progetto FLINT, CUP B69J25001080005
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logistics. The research activity will develop models and algorithms that exploit communication infrastructure and data availability, enabling the optimization of the required resources. In the case
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integration of autonomous driving algorithms for trajectory generation and control in mining operations. ● Research and development of an accurate simulator for the vehicles and platforms used in mining
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development of in silico models and generative AI algorithms for the production of high-resolution synthetic images, validated through the use of quality metrics and comparison with clinical data. The goal is
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reliable comparative database. Finally, the candidate must be able to develop and apply classification algorithms for discriminating between asbestos-cement roofs. Where to apply Website https://xup
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algorithms, and their experimental validation in teleoperation scenarios. Where to apply Website https://trasparenza.uniroma1.it/ Requirements Additional Information Eligibility criteria Eligible destination
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clinical decision support tool for patients with atrial fibrillation, and directly utilizing the specific decision-support device (based on AI algorithms) developed during the study in accordance with
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | about 2 months ago
of beamforming and beam-scanning algorithms, fixed-point optimization for hardware, and the VHDL/Verilog design of filtering, phase-shifting and summation blocks, together with high-speed dataflow management
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria dell'Impresa Mario Lucertini | Italy | about 2 months ago
with a prior analytical solution. The study aims at finding algorithms for defining and solving nonlinear systems of differential equations that describe the behavior of flexible elements of varying
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for the manufacturing sector, focused on regenerative models and operator-machine interaction with a view to Industry 5.0. Algorithms will be studied for the personalized adaptation of interactions, improving efficiency
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dynamics out-of-equilibrium, and applications to quantum simulation, quantum optimisation, and related quantum algorithms. Depending on the candidate’s interests and expertise, the project may also involve