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and implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular
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properties of plasma; - Study the pathophysiological processes induced by RONS in models of liver fibrosis, using molecular and cellular biology approaches; - Analyze the MPTs of proteins subjected to CAP
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formed during metal extraction in glycine leaching processes. This work will advance both the fundamental chemical understanding of GLT and the application of molecular modelling to hydrometallurgy and
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cells. Experience in some of the following techniques: flow cytometry, bioimaging, 3D in vitro models, organoids, molecular biology/DNA cloning. Capacity to develop, independently, projects in immune
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in pre-clinical modeling of disease and molecular neuroscience methods. Experience with neurophysiology and rodent behavior is preferred. This unique opportunity will provide substantial training in
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, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Lipid Droplets as Biophysical Models
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are interested in the development of new approaches to the simulation of different molecular networks and of different type of cells, with emphasis on genome-scale metabolic models, Boolean regulatory models and
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investigate chromatin control in 2D and 3D cell culture models (including human organoids) infected with human polyomaviruses, in particular BK-Polyomavirus (BKV) and Merkel Cell Polyomavirus (MCPyV). Identify
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epigenetic profiling. Work with mouse models of neurodegeneration (ALS and PD). Contribute to collaborative research with computational and clinical partners. Help define how microglia retain pathological
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infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity (Hiring entity): ASARI is positioning