17 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Adelphi-University" positions in Italy
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- Politecnico di Milano
- SAPIENZA UNIVERSITA' DI ROMA-DIPARTIMENTO DI PSICOLOGIA DINAMICA CLINICA E SALUTE
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- Università degli Studi di Napoli “Federico II"
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- Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova
- Fondazione Bruno Kessler
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learning architectures, addressing both Parameter-Efficient Fine-Tuning (PEFT) regimes and full end-to-end fine-tuning workflows." Acrivities will carried out in the project Next Generation Open Innovations
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Research Infrastructure? No Offer Description The research programme aims to develop innovative methodologies for multimodal data analysis and data fusion based on machine learning techniques. The objective
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position within a Research Infrastructure? No Offer Description The research programme aims to develop innovative methodologies for multimodal data analysis and data fusion based on machine learning
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between Numerical Analysis and Machine Learning, with a focus on physics-informed machine learning. The goal is to design learning strategies that incorporate the structure of the physical laws governing
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and further development of the Learning Factory as an industry-oriented demonstration and development environment for manufacturing and production technologies. The position is justified by
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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 research activity will focus on the development of reinforcement learning
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
datasets, the development of machine learning models, and performance evaluation in industrial application scenarios. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD course in Educational, Development and Learning
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process data locally while ensuring efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices
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evaluation of AI-based methodologies and technologies supporting university students with Specific Learning Disorders (SLD). Specifically, they will focus on Large Language Models (LLMs) and Multimodal Large