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qualifications, experience and knowledge Knowledge of the physics of active galactic nuclei, experience in the analysis of observational data for active galaxies (spectral decomposition, time-delay modelling
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of this project is to investigate the role of reactive oxygen species and autophagy during Staphylococcus aureus infection. The postdoctoral researcher will employ animal infection models to dissect the cellular
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analysis of AI models, in particular attention mechanisms; 3) documented experience in research work on AI models with applications in the space sector or similar (previous cooperation with the European
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/conditioning, 2D/3D models, implantation into the chorioallantoic membrane (CAM) model, and phenotypic/molecular analyses to study tumor heterogeneity, EMT-related traits, and drug response. The successful
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the entity implementing the project and in a country other than the country in which the doctoral degree was obtained. • Knowledge of hadron interaction models. • Knowledge of C++, Python, ROOT (Fortran will
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, the selected candidate may engage with the full scope of the project or focus on specific topics such as spectral analysis (including SED fitting and metallicity determination), the modeling of pulsation and
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 2 months ago
properties and a variety of potential applications. Application of the molecular dynamics methods combined with the approach based on the thermodynamic models of multicharged surfactant adsorption can provide
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, preserving its mechanical properties is crucial. Tissue engineering (TE) and xenotransplantation, particularly using pig models, offer promising solutions. This project aims to advance meniscus TE and
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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