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. - Have skills in image analysis (segmentation, cell tracking, spatio-temporal quantification) and quantitative analysis of biological data. - Familiarity with classical approaches in protein biochemistry
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slices, dissociated cultures), preparation of vectors for the expression of fluorescent markers, fluorescence imaging and cryo-electron microscopy, analysis and formatting of experimental data, manuscript
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large erosion pit during a breach, iii) a flood wave much more powerful than water in terms of transport capacity and destruction of buildings. Analysis of the state of practices does not show a model
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 26 days ago
Python and good analytical skills. A good background in probability/statistics and deep learning is expected. Knowledge of differential privacy and/or fairness is a plus, but not necessary. The candidate
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: Extraction and purification of bioactive compounds from propolis residues, Chemical characterization and analysis of the isolated molecules, Contribution to the scientific and applied dissemination of results
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approach, combining quantitative genetics, experimental evolution, and meta-analysis, to explore the potential of sexual selection in females at both micro- and macroevolutionary scales. Using the red flour
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objective is to improve knowledge of aeronautical sealing. Overlapping piston ring seals are used in numerous aeronautical applications, both civil and military. Their primary function is to ensure
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, these CMCs will increase the lifespan of engine parts to increase robustness and facilitate the maintainability of military and civil aircraft. Description of the subject: This thesis project is based on a
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their vulnerabilities. In this context, participatory methods can play a pivotal role in the collection, analysis, and dissemination of data related to natural hazards. By mobilizing local knowledge, lived experiences