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Field
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will combine infection models and patient-derived samples with approaches spanning cell and structural biology, supported by advanced imaging techniques, including cryo-electron microscopy (cryo-EM) and
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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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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis
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neuronal types shapes sensory coding and circuit computation, with a strong emphasis on neocortical cell diversity and synaptic properties. We integrate detailed biophysical work with in vivo circuit-level
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. ViCOROB is a research institute at the University of Girona focused on computer vision and robotics. It combines fundamental and applied research in areas such as underwater robotics, medical image analysis
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well as an appropriate multidisciplinary PhD Must-have background: · Strong experience in X-ray imaging, tomography or closely related 3D X-ray methods. · Experience with reconstruction, scientific coding and
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and brain imaging data. The candidate must be willing to work in a collaborative and inter-disciplinary environment. The study team consists of labs based in the University of Texas at Dallas (Center
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acoustic imaging and spectroscopic tools to monitor AM processing of metal alloy and ceramic powders using direct energy deposition and powder bed laser sintering. Familiarity with one or more material
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-wavelength excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis
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. Experience with Electronic Health Record data (structured codes (ICD), labs, meds, notes and/or temporal event sequences; irregular sampling). Experience with medical imaging modalities such as mammography