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in vivo models to replicate disease. We are particularly interested in the effects of exercise on the development of bone lesions, and the potential role played by mechanosensitive osteocyte cells in
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 4 hours ago
, stem cell models of differentiation and cell biology approaches. Key questions include how cells regulate global rates of protein turnover, how chemical modifications mark proteins for removal and how
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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in vivo models to replicate disease. We are particularly interested in the effects of exercise on the development of bone lesions, and the potential role played by mechanosensitive osteocyte cells in
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for one year. The University of Basel offers modern employment conditions, family-friendly working models, attractive social benefits, and a wide range of discounts in catering, sports, and continuing
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Job Title: CAES – Postdoctoral researcher in Modeling and quantitative analysis for efficient use and sustainable management of water at the Farm-Scale in semi-arid regions Job Description
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
) Carry-out additional simulations with the Phoreau model to test the effect of tree diversity on forests' resistance to droughts. ii) Analyse biodiversity-drought resistance relationships, across a
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Description Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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, to decipher the early mechanisms of tumor transformation. We will leverage innovative models to investigate the early stages of tumor transformationin the context of brain development. Specifically, we will use
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Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress