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Master Degree or higher in Medical Imaging, Engineering, Physics or a related field; Strong interest in in vivo preclinical imaging; Proven experience working with MRI devices, including operation, system
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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Single cell RNAseq and spatial transcriptomics for cancer immunology Position A bioinformatic engineer position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and
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Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
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. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted to clinical applications. ➢ A good knowledge of Python
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Professor in Medical Imaging. The Faculty of Science, Technology, and Medicine at the University of Luxembourg strives for excellence in the education and research of medicine, biomedical sciences and allied
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established expertise. In particular, this research work will build on breakthrough technology developed by the research team through the SequoIA startup initiative, currently in its prematuration phase
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Professor in clinical imaging. The Faculty of Science, Technology, and Medicine at the University of Luxembourg strives for excellence in the education and research of medicine, biomedical sciences and allied
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Professor in clinical imaging. The Faculty of Science, Technology, and Medicine at the University of Luxembourg strives for excellence in the education and research of medicine, biomedical sciences and allied
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-processing, the problems of aberrations and reverberations that generally pollute ultrasonic imaging (Bureau, 2003). Marine acoustic imagery is often faced with more deterministic multi-layer environments