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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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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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, optimal transport, set evolution and shape optimization, calculus of variations), and/or convex/non-convex optimization methods (first-order algorithms, nonlinear/non-Euclidean gradient descents
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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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cancer cohorts. • Proven ability to develop novel computational and AI-driven methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data
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projects with industry partners. Develop hybrid quantum-classical applications integrating AI and HPC workflows. Apply VQE, QAOA, QML, quantum annealing, and quantum-inspired algorithms. Develop industry
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | about 2 months ago
activity will focus on the development of an FPGA-based digital beamforming processing system for real-time radar, sonar or MIMO communication applications. The work will include the definition
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria dell'Impresa Mario Lucertini | Italy | about 2 months ago
the development of FEM-type software codes to solve the stress field, and the use of multibody computation for dynamic simulation. The goal is to get previous integration of flexible elements, whenever possible
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of the research is to develop advanced AI solutions
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on to: Develop and extend neural-inspired artificial intelligence algorithms; Research theoretical principles and foundations necessary for model interpretability and introspection; Program and test algorithms