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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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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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collaborate closely with experts in microbiology, biophysics, microscopy, image analysis, and molecular biology. Requirements PhD degree, or a foreign degree equivalent to a PhD degree, in systems biology
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: Processing biomedical images of different structures of the human eye using specialized software (Matlab, Python). Data handling using statistical software and Excel. Experimental measurements in
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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qualifications: PhD degree in computational science, computational biology, or equivalent Master’s degree in biomedical engineering or equivalent Experience of using various data sources (radiological images
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 32 minutes ago
into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing