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Field
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. This project combines molecular genetics, advanced imaging, and quantitative analysis to answer fundamental questions in plant cell biology and genome stability. You will be part of AGILE, a large international
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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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): https://extranet.cing.ac.cy/images/media/redirectfile/PhD%20Topics%20BOOKLET%202026-2027.pdf . Where to apply Website https://extranet.cing.ac.cy/applynow Requirements Research FieldMedical sciences
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine
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for a PhD candidate in artificial intelligence (AI) and medical imaging at the Department of Circulation and Medical Imaging (ISB), Faculty of Medicine and Health Sciences, NTNU. The position is
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imaging systems and signal processing and the Department of Electronics and Informatics (ETRO ), an imec research group at the Vrije Universiteit Brussel (VUB ), has an open research position for a
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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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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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics