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                Employer- Silesian University of Technology
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                staff position within a Research Infrastructure? No Offer Description TOPIC: Development of vascularized microfluidic in vitro skin models. PROFILE: biomedical physics, material science, biomedical 
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                . The project combines advanced computational modeling and experimental data analysis within a multiscale simulation framework. The work will employ the Martini 3 coarse-grained (CG) force field for protein 
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                learning techniques (e.g., JRODOS-MATCH, surrogate models based on Neural Networks), and Kubernetes architecture for distributed computing. The method will be validated with real event data and will provide 
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                , experience in analyzing observational data for active galaxies (spectrum decomposition, time delay modeling) Essential skills and abilities Ability to use and modify codes for modeling spectra and time delays 
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                at the interface between cell biology and quantitative modeling Experience in wet-lab work, particularly in maintaining cell cultures, immunostaining, and microscopy imaging Ability to work in a team 
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                research, combining state-of-the-art single-cell biology, epigenomics, and zebrafish disease models to uncover the regulatory mechanisms of development and disease. Where to apply Website https 
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                commercial skin substitutes and models, often fall short due to their limited functionality and inability to replicate the complex structure and physiology of native skin closely. Therefore, in this project 
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                , including wound patches, grafts, commercial skin substitutes, and models, often fall short due to their limited functionality and inability to replicate the complex structure and physiology of native skin 
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                » Computational chemistry Computer science » Modelling tools Computer science » Programming Computer science » 3 D modelling Researcher Profile Established Researcher (R3) Positions Other Positions Country Poland 
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                for Nuclear Research (NCBJ) is inviting applications for a position PhD student - scholarship (machine learning-driven modeling of metallic glasses) Location: Otwock - Świerk - in the outskirts of Warsaw with