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Field
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programming procedures to analyze situations and data. Duties may include: Create and evaluate moderately complex software Analyze software for new, moderately complex systems and algorithms Perform data
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-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: We are seeking motivated postdoctoral candidates to advance
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Fellow to contribute to cutting-edge research in embodied AI and
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) group at Aalborg University. The position is for two years and combines theoretical research, algorithm development, simulations, embedded implementation, laboratory experimentation, and industrial
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. Your task in detail: Design a data pipeline to extract and preprocess activity-relevant features from monitored building power consumption data Develop a classification algorithm (e.g., based on Gaussian
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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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