97 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Politecnico di Milano
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to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria Oral test aimed at ascertaining candidates’ aptitude and
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] Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria Oral test aimed at ascertaining candidates
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competitiveness (both at micro and macro level); the analysis of the relevant indicators and the analysis of the relationships between circular innovation and competitiveness, Where to apply Website https
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Observatories in applying Cloud solutions for the development, testing, management, maintenance, and improvement of the Osservatori.net platform used to disseminate research results. Where to apply Website https
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successful experiences, including through the development of case studies. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information
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threat for the Italian labor market. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria Oral test
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and emerging trends at both the Italian and international levels. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information
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The International Startup Ecosystem and the Evolution of Open Innovation Practices - 2026_IDR_DIG_28
https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria Oral test aimed at ascertaining candidates’ aptitude and suitability
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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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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