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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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, optimization and inverse problems, computational aspects of stochastic (partial) differential equations, randomized numerical algorithms, structure-aware and structure-preserving numerical methods for continuum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
include: 1. Designing and implementing software components, data structures, algorithms, APIs, and research workflows using Python and related technologies. 2. Developing and operating containerized
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specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously
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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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programming, algorithms, and systems. A willingness to grow into unfamiliar courses matters more to us than existing coverage of every topic. As a small department, every faculty member’s flexibility keeps all
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intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research
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of renewable energy sources, with a focus on wind and solar power plants. By integrating meteorological observations, high-resolution numerical models and machine learning algorithms, highly accurate forecasts