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title: InSEPSia: Innovative methods for early diagnosis of sepsis based on multiparametric biomarker analysis. Project description: The research involves the search for a diagnostic test for sepsis. Early
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software: ISOFT, SAP, BeerGame software, FlexSim software, electronic logistics service exchanges, telematics software); - preparation in the field of statistical data analysis and the application
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/tasks: conducting experiments, sample preparation in cellular, transcriptomic and proteomic studies and support in the analysis of the obtained results; preparing reports and presenting results at group
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samples for microbiological analysis. They will also be expected to apply for research funding. They should be interested in further scientific development, initiate and actively participate in research
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version. The deadline for applying is 22.09.2025 at 23.59 - the date and time recorded by the recruitment system is applicable. The result of the competition is settled based on the analysis
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applicable. The result of the competition is settled based on the analysis of the documentation submitted by the candidates. The result of the competition will be announced at the University website https
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of the tests performed by: applying scientific methods of problem analysis and solving; continuous tracking of progress in its field of technology (non-destructive testing, diagnostics of aircraft structures
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groups in the description of the hard magnetic properties of the materials with the use of available numerical methods; - Participation in research on the magnetic properties of ultrathin films; - Analysis
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achievements in the field of physical sciences documented by publications in renowned journals 2. Additional Requirements: 1) statistical analysis of large data sets 2) knowledge of machine learning 3
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the field of physical sciences documented by publications in renowned international journals, including achievements in elementary particle physics 4) knowledge of issues related to data analysis in the LHC