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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities worldwide. Its
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include: Technical publications Industry and government conference presentations Course development and delivery Direct customer engagement Prototype tools and methodologies Requirements You have BS in
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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
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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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and research, in and outside academia. You will be joining the Colourlab , an exciting research environment for colour and spectral imaging, at NTNU in Gjøvik, Norway. You will also be a member of the
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and in-depth information about their vision. This could lead to a paradigm shift for monitoring vision in patients with MS – enabling earlier and more reliable detection of vision-related manifestations
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for particle detection and polymer identification including confocal and high-resolution imaging and spectroscopic analyses such as OPTIR and micro-Raman spectroscopy. The results will provide new insights