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10 Feb 2026 Job Information Organisation/Company Faculty of biotechnology and drug development Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc
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term and on a full-time basis, with a probationary period of 6 months, to work on the Croatian Science Foundation project: Young Researchers’ Career Development Project – Training New Doctoral Students
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chemistry to have at least 6 years of working experience of professional experience in the field of natural sciences, chemistry, in the development of new synthetic methods; and/or experimental studies
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of information science for the group of subjects related to the digital business and internet of things at the Department of Information Systems Development Where to apply E-mail natjecaji@foi.unizg.hr Requirements
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experimental solid-state chemistry and structural analysis, including systems that require work in an inert atmosphere, thermal analysis methods, and with experience in the application and development of new
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Administration to Combat Corruption – AI-PACOR” (IP-2025-02-6520, https://www.croris.hr/projekti/projekt/15970?lang=en ), funded by the Croatian Science Foundation (CSF) within the Research Projects programme (IP
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: Applicants (m/f) are expected to meet the requirements prescribed by the Science and Higher Education Act (as published in Narodne novine, no. 119/22). Advantages research interest and developed competencies
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | about 2 months ago
13 Feb 2026 Job Information Organisation/Company Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj Department Business Development Department Research Field
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to the Complex and Topological Condensed Systems and Quantum Technologies, as well as Topological Applied Photonics. This includes developing theoretical formalism and the underlying numerical implementations and
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, particularly in data analysis from particle collider experiments, as well as development and testing of silicon detectors. Experience in the application of machine learning methods and work within international