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Field
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in
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Details Title Postdoctoral research fellows in generative, multimodal AI, and seismic foundational models School Faculty of Arts and Sciences Department/Area Earth and Planetary Sciences Position
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for a postdoctoral researcher position in the field of auditory perception and speech development (ANR Global Speech project). The successful candidate will work under the supervision of Laurianne Cabrera
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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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of multimodal data (e.g., meteorological acquisitions, with radar scans and other ambient or physical parameters), and this makes AI techniques particularly convenient to use, since they are particularly data
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relevant journals/conferences. Experience with multimodal data fusion (optical/SAR/soil/phenology), satellite platforms (Sentinel/Landsat/GEE), and building reproducible pipelines. Field/ground-truth
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track record in fMRI data analysis and multimodal neural representations of actions will be considered a preferential qualification. Where to apply Website https://www.imtlucca.it/en/jobopportunity/public
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neuromodulation, psychophysiological, behavioral, multimodal neuroimaging, and neuropsychological/clinical assessment approaches in peripubertal children, adolescents, and emerging adults. This position is for a
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focused on exploration and development of AI models of auditory perception, towards a broader goal of understanding how the brain predicts and learns from human communication sounds such as speech and music
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multimodal data fusion", working with Prof. Marios Philiastides. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced