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- progetto FLINT, CUP B69J25001080005
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Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems
. The neuromorphic component will address the design, optimization and deployment of Spiking Neural Networks (SNNs) and event-based algorithms on embedded processors and specialized accelerators, including data from
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standard for modelling the composition and topology of digital services to support threat hunting and risk assessment algorithms; 2) to develop the software to automatically and dynamically discover data
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
individual-level data cannot be shared; (ii) designing bias detection and mitigation algorithms, such as fairness-constrained federated optimization and post-processing debiasing, applicable to tabular
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
tasks include: (i) developing federated data profiling and quality estimation algorithms that operate without centralizing sensitive health data; (ii) designing quality-aware aggregation strategies
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to complex differential problems. Particular attention will also be devoted to the optimization algorithms required for training these physics-informed machine and surrogate models. Project funded by Ministero
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of algorithms for synthetic aperture radar signal processing to monitor Earth's surface deformation using multi-platform acquisition systems. Where to apply Website https://selezionionline.cnr.it Requirements
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project consists in the development algorithms for the indirect estimation
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includes the development of a preliminary processing chain featuring phase synchronization, accurate trajectory estimation, time-domain multistatic focusing, and algorithms for the estimation and
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. The research will focus on: i) the theoretical formulation of multi-view constraints for quadrics and conics; ii) the development of robust algorithms for pose estimation, reconstruction and self-calibration
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
. The objective is to define robust, scalable theoretical and algorithmic tools applicable to complex and interconnected systems such as smart grids, sensor networks, multi-robot systems, and cyber-physical