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imaging strategies to enable detailed analysis of native biomolecules within cells in three dimensions. The research will focus on uncovering disease-specific molecular processes, with particular relevance
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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to identify, map, and measure in airborne and satellite images of the Earth, the natural and socio-environmental hazards and risks studied in IRIMA(earthquakes, tsunamis, volcanic eruptions, landslides
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are united in our efforts to understand, explain and improve our world and the human condition. The MAX IV Laboratory has created a paradigm shift in accelerator science by developing the first fourth
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, special procedure imaging, Mammographic imaging, Ultrasound Imaging, portable x-ray machines and these systems associated/integrated support equipment. Assigned Responsibilities: 1. Imaging Group
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practical experience in deep learning-based machine learning or natural language processing. Strong background in statistical modeling. Strong scientific writing skills. Expertise in medical imaging
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for the detection of exoplanets in coronagraphic images. Unlike traditional methods that rely on angular or spectral diversity to differentiate planetary and stellar light, this project is to develop Coherent
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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printers. Desired Qualifications* Some knowledge in using ANSYS software and image processing. Mechanical Engineering student preferred. Modes of Work Onsite The work requires, or the supervisor approves a
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microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key