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employs a translational approach, applying insights from animal and cell models to humans, and vice versa. This requires a broad expertise in molecular techniques and high-throughput data analysis across
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employs a translational approach, applying insights from animal and cell models to humans, and vice versa. This requires a broad expertise in molecular techniques and high-throughput data analysis across
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in fundamentally understanding the molecular mechanisms that allow cancer cells
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incident conditions, i.e., mainly higher incidence energies, which requires the development and implementation of a new machine-learning model to represent the tensorial electronic friction coefficients
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(including preclinical models) is essential. Affinity with data collection and mining, data analysis, and data gathering with readouts in, e.g., histology, molecular cell biology, immunohistochemistry, and
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modelling of the human microcirculation by merging vascular cell biology with computational science In this project, we will study the molecular basis of endothelial integrity in the context of acute and
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research strengths. Our programmes in research and education range from nanomaterials and biomachinery to astronomy, from mathematics to pharmacy, from neurosciences to computer science, and from molecular
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by making next generation complex organ-on-a-chip or organoid models. We are looking for a biomedical researcher trained in molecular cell biology with an excellent track record in innovative iPSC
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. This research is embedded in the CropXR work package on growth-resilience trade-offs and combines digital phenotyping and molecular omics technologies. Your job Current projections show that the incidence
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Irène Curie Fellowship No Department(s) Applied Physics and Science Education Reference number V34.7526 Job description Are you inspired by combining physics-based models with machine learning