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, particularly in the area of time series modelling, analysis, and interpretation of temporal variations Preparation of publications and conference presentations Analyzing regional patterns in Terrestrial Water
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, stochastic thermodynamics, and quantum physics. The research will focus on three main directions: Thermodynamic computing: developing physics-inspired alternative models of computation that aim to reduce
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models of neuroinflammation); Excellent skills in cell culture and flow cytometry; The ability to analyze RNA-seq data (R/Python); Enthusiasm and passion for research; Doctoral degree obtained not earlier
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mouse models of neuroinflammation); Excellent skills in cell culture and flow cytometry; The ability to analyze RNA-seq data (R/Python); Enthusiasm and passion for research; Doctoral degree obtained not
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the interplay between iron homeostasis, ferroptosis, and protein aggregation using advanced cellular and animal models. Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID
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sensitive sensing, NCN OPUS 24 No. 2022/47/B/ST5/02337 Leader Dr Maciej Cieplak Selective and sensitive chemosensing is crucial for numerous aspects of modern civilization and technology. Within this Project
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. To this end, we will employ advanced molecular, cellular, and systems biology methods and tools, as well as various research models—from standard cell lines to primary lines and several mouse models
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mechanistic details of these interactions remain unknown. So far, no atomic model has been identified for complexes between mutated transcripts and the aggregation-prone proteins bound to them. Due to the large
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5 Feb 2026 Job Information Organisation/Company AGH University of Krakow Department Faculty of Materials Science and Ceramics Research Field Chemistry Engineering » Materials engineering Researcher
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”, have become a major direction in modern technology development. At the same time, it has become increasingly clear that the mechanical fragility of 2D materials remains a key challenge for their scalable