33 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions in Italy
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Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical
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Study and development of monitoring and prediction services for critical components of machine tools
conducted in close collaboration with Pama SpA (https://pamamachinetools.com/ ), an Italian company with over 90 years of experience in the machine tool market... Where to apply Website https
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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 algorithms for machine
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Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as
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of deep neural networks in the field of adaptive processing of graph data (Deep Graph Learning) . The developed novel approaches will be applied to case studies in bioinformatics Requirements Additional
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positions out of 20 positions offered. Where to apply Website https://www.research.univ-unita.eu/en/choral-project.html Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent
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of transnational findings and guidelines, and collection of lessons learned and recommendations. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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skills with universities, funding bodies, and industry. Language skills English: Fluent. Italian: Italian language skills desirable or, alternatively, a willingness to learn the Italian language.
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, European Politics, Environmental Politics, or the study of Democracy. The ideal candidate should have familiarity and experience with the American liberal arts educational tradition and be prepared to teach
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tradition and be prepared to teach core undergraduate and graduate courses as well as courses in their area of expertise. The teaching load is three courses per semester. Candidates are expected to be fluent