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resonance imaging and searches for dark matter. This fellowship is associated with the research project Generación de Conocimiento 2024, funded by the Spanish Ministry of Science, Innovation and Universities
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Biophysics, Biophotonics & Super-Resolution Imaging All PhD students admitted to ICFO are provided with a fellowship, with conditions as described in detail below. Important: Students applying to join the
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/ET, MRI imaging, Computational biology, AI/ML Faculty recruitment is focused on scientific leaders interested in working together towards this very ambitious scientific goal while also promoting
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Biophysics, Biophotonics & Super-Resolution Imaging All PhD students admitted to ICFO are provided with a fellowship, with conditions as described in detail below. Important: Students applying to join the
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. Specifically, NIR sensors, hyperspectral imaging coupled with standard or macro lens, spatially resolved spectrometry, evolving plots, and FTIR will be used for the non-invasive characterisation of raw material
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, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics, simulation, cloud environments (Kubernetes type, Docker-compose, virtualization, etc.), 3D environments
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others. The candidate will be working in a very multidisciplinary project that covers topics such as chemical synthesis and functionalization, materials science, characterization techniques and prototype
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for public policies that promote healthy and sustainable eating across Europe. Responsibilities Create audiovisual materials for the Planet project and the Health Sciences Studies, including recording, image
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Doctoral candidate in the nexus between doping and thermal conductivity in EU Training Network FADOS
of doping level. The Doctoral candidate will be in charge of developing imaging tools to characterize doping landscapes (via Raman) and thermal conductivity landscapes (via thermoreflectance tools
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/2) and dramatically larger physical apertures than today’s 5G MIMO systems. We call this new paradigm UltraMIMO (U-MIMO). This thesis will develop superdirective hybrid analog–digital UMIMO arrays