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Field
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learning, physical AI, and spatial AI. The RA will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision
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with algorithm software development and user interface design. Key Responsibilities: Collect relevant traffic data from several resources, working with industrial collaborators. Carry out necessary data analytics
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | 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 | 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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the following. Other duties may be assigned. 1. Research, develop, validate, and deploy AI models, algorithms, and data pipelines for processing large-scale structured and unstructured datasets, leveraging
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Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data
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identity records using profile matching algorithms and manual review. Collaborate with the Identity Services team to keep the university master identity model consistent. Metadata & Taxonomy Management
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allocated tasks, and communicates progress regularly. 5% Analyzes existing highly complex open source software or works to formulate logic and devises algorithms for new modular and composable software
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, DMC). Development and implementation of Quantum Monte Carlo algorithms. Numerical simulation of many-body quantum systems. High-performance computing (HPC) and Linux environments. Scientific programming