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demonstrated, or in the field of engineering and technical sciences, provided that an interest in social sciences issues can be demonstrated. ; actively participating in research project funded by the National
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | 9 days ago
advantages: Practical engineering or research experience in implementing applications using tensor and neural networks, Experience in scientific projects, Completed domestic or international internships
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21 Aug 2025 Job Information Organisation/Company Adam Mickiewicz University, Poznań Research Field Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc
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University of Science and Technology will be the primary/additional* place of employment of the candidate, a declaration of consent to the processing of personal data for the purpose of the recruitment process
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Science in Physics Experience in theoretical and computational modeling is an advantage Student or doctoral candidate status in the field of materials engineering, mechanics, physics, or related fields NCN
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. Certified copy of a document confirming possession of at least a professional degree of Master of Science, Master of Science in Engineering, or equivalent.10. Academic evaluation form with attachments
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1 Sep 2025 Job Information Organisation/Company Jagiellonian University Department Faculty of Biology Research Field Biological sciences » Biological engineering Biological sciences » Biology
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), the IIMCB has established itself as a highly recognized international research center where excellent science is complemented by professional technology transfer in biomedical applications. The Institute’s
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Structural Biology," funded by the SONATA BIS 14 program of the National Science Centre (NCN). The successful candidate will join our Dioscuri Centre and work on: “Re‑engineering the Electron Microscopy Data
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constant, is fundamental in Computational science, engineering, and Bayesian statistics. Recent research suggests that gradient flow-based algorithms in the space of probability measures offer new directions