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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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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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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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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
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The MVAIT Lab at LKCMed seeks to hire a Research Assistant (RA) who will play a role in pioneering research on medical image processing, medical visual technology and LLM, and the interface of AI
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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antisocial behaviour, what processes underlie this ability? It has been suggested that emotional responses may play a role in infants' social evaluation and preferences (e.g. Steckler et al., 2018). A
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representations from large datasets, enabling effective application across different imaging modalities and tasks. The position aligns with the school’s mission to advance research on AI in medicine and improve
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specialist mass spectrometry instrumentation, including high-resolution Orbitrap platforms (QExactive, Fusion Lumos), triple quadrupole LC-MS/MS systems, and surface and imaging MS technologies (e.g. AP-MALDI
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS