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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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including cognitive assessment, neuropsychology, psychophysical testing, eye-movement monitoring, structural and functional magnetic resonance imaging, transcranial magnetic stimulation, and genomic assays
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory and applications of the Learning-to-Defer (L2D) framework, building on recent
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injections, chemogenetics, histology and molecular biology. Some surgical experience is essential. Training will be provided in in vivo calcium imaging using our multiphoton imaging setup. The role also
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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Director), head of the GIN's 'Brain, Behaviour and Neuromodulation' team. This multidisciplinary team brings together researchers, clinicians, engineers, PhD students and undergraduates around a common goal
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University of California Riverside School of Medicine | Riverside, California | United States | 4 days ago
contacting: aobenaus@medsch.ucr.edu We are recruiting for the following areas: Vascular physiology: This position will use modern in vivo imaging (miniscopes, 2-photon, magnetic resonance imaging
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to brain processing using several different methods, including electrophysiological (EEG), functional and structural brain imaging, as well as behavior and psychophysical measurements. We offer an engaging
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project researchers You will report to the Head of Department. Your competences You have academic qualifications at PhD level, for example within the following areas: Medical imaging, biomedical engineering
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fundamental discovery to patient care. Our laboratory focuses on advanced label-free optical technologies for disease detection and characterisation. We develop fibre-optic and multimodal imaging systems