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27 Feb 2026 Job Information Organisation/Company Fondazione Bruno Kessler Department Unità People Innovation Research Field Technology » Computer technology Researcher Profile Recognised Researcher
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Fondazione Banca degli Occhi del Veneto (The Veneto Eye Bank Foundation) | Italy | about 1 month ago
27 Feb 2026 Job Information Organisation/Company Fondazione Banca degli Occhi del Veneto (The Veneto Eye Bank Foundation) Department Research Centre Research Field Medical sciences » Other
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Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Dec 2026 - 23:59 (Europe/Rome) Country Italy Type of Contract
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Engineering, Electronic Engineering, Telecommunications Engineering, Computer Science or equivalent. Candidates with PhD focusing on computational science will also be considered. Specific Requirements Basic
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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to perform correlative operando measurements Essential requirements PhD in Material Science, Chemistry or Physics or equivalent degree Hands-on experience in electrochemistry Hands-on experience in Raman and
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on the delivery of magnetic nanoparticles to tumors via natural killer cells and on study of magnetic hyperthermia for metastatized tumor treatment. ESSENTIAL REQUIREMENTS A PhD in nanoscience or materials science
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partners, as well as supporting proposals for funding of national/international applications. Required Qualifications PhD in Software Engineering, Robotics, Computer Science, AI, or closely related areas
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-impact journals and present research at international conferences. Your Profile Requirements: Education: PhD in Remote Sensing, Environmental Engineering, Geoinformatics, Telecommunications, or a related
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bring Essential PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs