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) and mechanistic assays. • Proficiency in imaging and data analysis tools (e.g., CellProfiler, ImageJ). Knowledge & Experience (Desirable) • Knowledge of cancer biology and therapeutic resistance
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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measurements, identification and quantification of microstructural defects by optical confocal microscopy, fluorescence imaging, etc.). The elaboration processes that will be used are based on the formulation
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access to cutting-edge field and laboratory facilities including a high performance geospatial computing suite, UAV sensing platforms including LiDAR, thermal and multispectral imaging, and GNSS surveying
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for dynamics imaging. The primary goal of this project is to develop single-frame ptychography methods that eliminate the need for scanning, enabling fast imaging and the visualization of dynamic processes in
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, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning
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LevelPhD or equivalent Skills/Qualifications Holder of a PhD degree in physiology, biomedical sciences, bioengineering, imaging, or related field, you have a first research experience (research engineer
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including pre-clinical studies, image-guided delivery, nucleic acid therapeutics, targeting and therapeutic aptamers/peptides, immunotherapy, RNA biology, nose-to-brain delivery, blood brain barrier targeting
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4 Dec 2025 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Biological sciences Medical sciences Pharmacological sciences Researcher Profile