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techniques, instrumentation, and equipment relevant to ophthalmology/vision research. Proficiency in scientific research software for data analysis, statistical summaries, image processing/quantification, and
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://www.academictransfer.com/en/jobs/359394/phd-in-multi-modal-ai-for-uav-b… Requirements Specific Requirements A master’s degree in Electrical Engineering, Computer Science, Artificial Intelligence or in a strongly related
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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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competency checklist Preferred Qualifications Advanced training in computer-based image management systems Familiarity with advanced echocardiographic imaging and intracardiac procedures performed in
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pertinence comme indicateurs de santé des populations aviaires résidentes et migratrices. Le projet s'appuie sur le programme national de sciences participatives PUPIPO, qui a déjà permis de constituer une
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engineeringEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelExcellent Research FieldEngineering » Computer engineering Additional Information Website for additional job details https
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partners. Subject area for the position: Computer and information science Location until further notice: Växjö. Since Linnaeus University is located in both Växjö and Kalmar, travel between the two may be
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of electron microscopy and beam-material interactions. The ideal candidate will have a basic understanding of image processing. Core competencies: – Knowledge of image processing software (Avizo, Dragonfly, etc
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, if applicable. Enrolment in Master's degree in Informatics or Informatics Engineering or Data Science. Work plan: The objective is to develop a prototype system for the registration of medical images, namely
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Primary Lymphoedema utilising a range of computational and statistical approaches. We are seeking a candidate with a background in computational biology and experience in the analysis of genetic data