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conferimento di n. 1 incarico di ricerca scientifica di Fascia 1 presso la Sezione di Roma dell’INFN - 12 mesi Where to apply Website https://www.ac.infn.it/ Requirements Additional Information Eligibility
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based on the new data generated, incorporating key variables identified in (i), and use statistical and machine learning methodologies to ensure high predictive accuracy and robustness; iii) validation
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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 candidate will be involved in the development and implementation of machine
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, designing, implementing, and evaluating ML models that address practical challenges across domains. The researcher will contribute to the development of a full machine learning pipeline, including data
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center, integrating it with low-latency gravitational-wave alert systems and Machine Learning (ML) pipelines. Omissis... Where to apply Website https://www.unibo.it/it Requirements Additional Information
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of signal processing and machine learning algorithms for the extraction of acoustic, prosodic, and semantic parameters from voice recordings. Where to apply Website https://aunicalogin.polimi.it/aunicalogin
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objective is to achieve a more stable, adaptive, and generalizable PSOG system with fast calibration and robust performance under domain variations. Where to apply Website https://aunicalogin.polimi.it
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the dynamics of potentially illegal waste deposits. The research will apply deep learning and computer vision techniques to identify regions within an image where there is an increase or decrease in
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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time