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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 19 days ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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hospital intensive care unit. The post holder will have primary responsibility for the development and evaluation of the system, and of the data processing and image display software. The post holder will
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication
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Portuguese and English; e) capacity for teamwork, autonomy, flexibility and a high sense of responsibility; f) very good computer skills. Experience in using a web content management system, as well as image
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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We are seeking a highly motivated postdoctoral Research Fellow to join our interdisciplinary project on how cryogenic OrbiSIMS, a cutting-edge mass spectrometry imaging technique, interacts with
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to solve this issue. Indeed, there is growing evidence that thermal imaging could serve as a tool for measuring emotions in a non-invasive, contact-free way, that does not require verbal communication
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable