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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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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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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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of three-dimensional bone scaffold models, c. Design and fabrication (3D printing) of three-dimensional bone scaffold models, d. Preparation of samples for physicochemical and mechanical testing, e
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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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on the Web) and social media data experience in semantic analysis, vector space modeling, or word embeddings (e.g., word2vec, GloVe, BERT) ability to integrate obtained data with theoretical models in
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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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, including knowledge of statistical modelling and R - the ability to acquire external research funding Specific Requirements - programming skills: - R - experience in analysis of ecological data, preferably
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Alzheimer’s disease: verification of the neuroprotective efficacy of a selective receptor modulator in mouse and human models of the disease". KEYWORDS: molecular biology, neurobiology, mechanism of cell death