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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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“Dynamics of Soil Processes” at the University of Hamburg, and also work closely with the junior research group “COLDSPOT”. PeTCaT aims at closing key knowledge gaps and at reducing uncertainties in carbon
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to explore the regulation of mRNA modifications in developing cortical neurons. Key techniques will include biochemical approaches, fixed tissue imaging, stereotactic surgery, structural and functional
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Hospital. The position focuses on advanced medical image analysis in musculoskeletal medicine, with opportunities to take on scientific leadership responsibilities. The AIO group is part of the Department
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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thermochemical reactor process for heat storage, characterizing its behaviour and thermal performance. Post-doc Objectives: A prototype, representative in scale of the final system (several kW and several kWh
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging
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large animal models, lymphatic research, and MRI. The scholar will be supported by MR technologists (MRI studies), plastic surgeons (lymphatic surgery), radiologists (MRI studies and imaging evaluation