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. Detection of elements in freight wagons from images using AI techniques – Deep Learning. 2. Detection of defects from images using AI techniques – Deep Learning. 3. Validation on a Digital Twin and real
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digital documentation of recent work (at least 20 images with slide script/description of work) Letter of interest One-page artist’s statement 3 professional references – names and contact information only
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website providing digital documentation of recent work (at least 20 images with slide script/description of work) Letter of interest One-page artist’s statement 3 professional references – names and contact
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darkroom processes, large format photography, and color digital photographic production. The successful candidate will have the ability to teach a strong foundation in perceptual, formal, and critical skills
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proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups
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cognitive modelling. What are you going to do As part of the project, you will carry out microscopy processing of human-brain specimens, digitization of the microscopy slices, subsequent image processing, and
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collection materials conventionally and digitally; preparing high-quality digital images; contributes to research documentation and assists with preparation of materials for publication under supervision
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analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker). Cultural and language competency and/or experience working with one
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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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Hierarchical Failure Analysis and Digital Twin Modelling of Next-Gen Hydrogel Coatings School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded Students Worldwide