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Field
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developing prototype drug candidates. Project outcomes will be protected as intellectual property and will provide a foundation for translation through clinical studies and appropriate commercialisation
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15th April 2026 Languages English English English We are looking for PhD Candidate in Spectral Imaging Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
of graph databases, prototype systems have shown how property graph views can be defined, materialized, and incrementally updated over underlying storage layers ([Han24]). However, existing techniques stop
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for a highly motivated PhD student to conduct research under the supervision of Prof. Jef Vandemeulebroucke in the field of medical image analysis and artificial intelligence. The selected candidate will
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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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model of the non-transparent structure. Using this approach, we aim to build a microscope that can look inside very complex materials without loss of image quality. Your role is to build flexible 3-D ray
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background in neurophysiology / imaging and animal behavior to join the Whitlock group. The position is financed internally by NTNU and is part of a new line of work investigating the neural population coding
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emphasis on techniques used for optical imaging of the human retina. It centers on two-photon fluorescence ophthalmoscopy employing femtosecond laser sources. This technique offers new opportunities
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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque electrophysiology data obtained through