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  • and a report on the results, supporting the project’s neuromorphic learning activities Where to apply Website https://pica.cineca.it/uniroma2/ Requirements Additional Information Eligibility criteria

  • CNR/IPCF | Pisa, Toscana | Italy | about 1 month ago

    georeferenced data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image

  • Politecnico di Torino | Torino, Piemonte | Italy | 21 days ago

    learning. Experience in large-scale video understanding for human behavior analysis is required. Where to apply Website https://careers.polito.it/ Requirements Additional Information Eligibility

  • SAPIENZA UNVIERSITA' DI ROMA | Roma, Lazio | Italy | about 20 hours ago

    statistical mechanics, information theory, stochastic processes, population dynamics, and neural networks. Within this framework, machine learning systems and artificial generative models will also be

  • UNIMORE | Modena, Emilia-Romagna | Italy | 23 days ago

    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

  • UNIMORE | Modena, Emilia-Romagna | Italy | 21 days ago

    , and image processing. Tasks include the development of novel generative algorithms for music, the design and evaluation of transformer models, and the experimentation of deep learning techniques for

  • titled “Human-Centered Intelligent System for Early Detection and Monitoring of Neurodegenerative Diseases via Voice Signal Evaluation” – “HISENSE” Where to apply Website https://selezionionline.cnr.it

  • supervisor’s guidance. Activities will include preprocessing and integrating available neuroimaging data and electrophysiological signals, learning shared representations, and comparison with dynamical

  • Dipartimento ingegneria chimica materiali ambiente | Roma, Lazio | Italy | about 20 hours ago

    reference to hyperspectral imaging (HSI), X-ray fluorescence (XRF) and (micro)FTIR spectroscopy. Acquired data will be processed using statistical and chemometric methods, machine learning and artificial

  • Università degli Studi di Padova | Padova, Veneto | Italy | about 2 months ago

    characterization and aqueous solution geochemistry; 2) statistical methods and machine learning for mixture formulation; 3) environmental impact assessment through LCA. The research envisages the

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