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Field
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analyse their involvement in physiological versus pathological conditions using cellular models and advanced quantitative cell biological approaches. The current third-party funded position invites
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fibrosis, using novel mouse models and human precision-cut lung slices to study how metabolic networks may reveal disease- and context-specific targets for selectively interrupting pathological cellular
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The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi
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goals. Our research focuses on neurovascular signaling, utilizing mouse genetics, molecular and protein-biochemical methods, cell biology, and various -omics methods. Currently, we are exploring
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. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection
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both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
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. - Demonstrable knowledge of trends and theories shaping current biology education research. - Knowledge and experience using diverse methodological approaches (quantitative and qualitative) and accompanying skills
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites
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expertise in construction engineering and management, computer science, cybersecurity, artificial intelligence, robotics, digital twins, Building Information Modeling (BIM), or related disciplines
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive