59 evolution "https:" "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions in Italy
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- Università degli Studi di Milano, su finanziamento codice U-GOV FON_NAZ26LBELL_01
- Università degli Studi di Milano, su finanziamento codice U-GOV FON_NAZ26PGAND_01
- Università degli Studi di Milano, su finanziamento codice U-GOV RL_PRES25MORTE_01
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https://www.unifi.it/sites/default/files/2025-12/dr_1469_2025_art._22_bis_fis_2… Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility
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https://www.unifi.it/it/ateneo/lavora-con-noi/reclutamento-bandi-di-concorso/1-… Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility
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correlation. The project is embedded in a highly innovative, multidisciplinary research context, integrating expertise in neuroscience, biophysics, and advanced imaging techniques. Where to apply Website https
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and development of perception stacks for autonomous mobile systems in general in any field Machine learning/deep learning experience applied to perception and any experience with deep Learning
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) Archaeology, history and literature of the Greek and Roman world; Latin palaeography, History of Religions 3) Modern Literature and Italian and romance philology 4) Philosophy Where to apply Website https
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; political culture and political communication. Where to apply Website https://pica.cineca.it/sns Requirements Additional Information Eligibility criteria Both Italian and non-Italian applicants may take part
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https://pica.cineca.it/sns Requirements Additional Information Eligibility criteria Both Italian and non-Italian applicants may take part in the selection who are in possession of a PhD, or an equivalent
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provide competitive compensation packages and full support for conference travel and professional development. You'll have access to state-of-the-art high-performance computing infrastructure and GPU
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, geneticists, and other colleagues in the Centre to develop and implement robust machine learning frameworks and pipelines focused on disease evolution prediction; Interpreting results and communicating findings