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computer vision. The dominant approach is based on deep neural networks applied to RGB images. These models have disadvantages such as: a) the need of large quantities of annotated data, which requires
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Inserm 1037 - Cancer Research Center of Toulouse - University of Toulouse III | Toulouse, Midi Pyrenees | France | 2 months ago
; McKenzie et al. Trends in Cancer 2023). The research will be performed on clinically relevant samples using latestgeneration imaging techniques. The ideal candidate for this position has a strong background
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, including cancer genomics and computational biology, cell and molecular biology, cell models (3D and murine), immuno-oncology and imaging. The host lab has a specific interest in lung pathophysiology, and Dr
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. Experience in cell biology, protein biochemistry, or imaging. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Start Date: April-June 2025 Duration: the position is
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Brain Barrier (BBB), CNS Drug Delivery, Brain Shuttles, Brain Imaging, Medicinal Chemistry, Computational Science, Artificial Intelligence (AI), Machine Learning. MAIN SUB RESEARCH FIELD OR DISCIPLINES1
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particular skills on testing materials of civil engineering via triaxial, oedometric and simple-shear apparati are recommended. Basics of Digital Image Correlation techniques and competences in post-treatement
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Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | 2 months ago
that align ground-level images with satellite imagery, integrating time-series and multi-spectral data for a more comprehensive geospatial understanding. Improve the model’s capacity to interpret textual
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in large-scale computational image processing and analysis You are experienced in coding in MATLAB or equivalent language suitable for high content imaging analysis. You have a proven ability to
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
uses the task-based programming paradigm with the StarPU execution engine. The proposed topic will lead to further development of this h-matrice tool, in collaboration with the industrial partner
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September 2025. We have recently shown the potential of dissolution DNP for metabolomics on a prototype instrument, and the new system will be key towards scaling up our hyperpolarized metabolomics workflow