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Università Ca' Foscari Venezia - Dipartimento di Filosofia e Beni Culturali | Italy | about 3 hours ago
/A (Logic and Philosophy of Science), research project "Critical History of Deep Learning". DEADLINE: February 2nd 2026, AT 1:00 P.M. CET Where to apply Website https://www.unive.it/data/50068/?id=2026
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), including critical analysis of results and verification of the physicochemical consistency of predictions; e) Experimental validation of machine learning model predictions (resin formulation, SLA 3D printing
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Required Documents · Cover letter, curriculum vitae, and names and contact information of three references E-Verify Participation Notice: https://www.e-verify.gov/sites/default/files/everify/posters
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://calls.ikerbasque.net/ Work Location(s) Number of offers available1Company/InstituteIkerbasqueCountrySpainCityBilbaoGeofield Contact City Bilbao Website http://www.ikerbasque.net E-Mail info@ikerbasque.net STATUS
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16 Jan 2026 Job Information Organisation/Company Autonomous University of Madrid (Universidad Autónoma de Madrid) Department Teaching and Research Staff (Personal Docente e Investigador) Research
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related to staff position within a Research Infrastructure? No Offer Description ELLIS Institute Finland is a newly established world-class research hub in AI and machine learning – and we are growing! We
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; More information https://www.osi.lv/en https://targetwise.osi.lv/ Contacts for additional info and document submission recruit_tgws@farm.osi.lv Where to apply E-mail recruit_tgws@farm.osi.lv Requirements
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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fields. Your research can be theoretical, applied, or span both. Deadline February 9, 2026. Where to apply Website https://jobrxiv.org/job/ellis-institute-finland-27778-postdocs-in-machine-learn
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and