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Field
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Computer Science, Artificial Intelligence, Machine Learning, or a related field; Strong background in image processing, computer vision, and deep learning; Excellent programming skills (Python preferred), with
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an underwater particle and plankton imaging system (UVP6), and a combination of morphological and molecular techniques (DNA metabarcoding). Focus areas are the polymetallic nodule fields in the Clarion-Clipperton
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by Dr Adrià Rofes (daily advisor), Prof. Roel Jonkers (promotor), and Prof. Thomas Picht (co-advisor). The PhD candidates will spend the first three years at the Image Guidance Lab of the Charité
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). The PhD candidates will spend the first three years at the Image Guidance Lab of the Charité - Universitätsmedizin Berlin (Germany) and one year at the laboratory of Dr. Adrià Rofes at the University
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applications, ranging from noninvasive cancer treatments to contrast imaging and targeted drug delivery. The research will be supervised by Dr Vanja Nikolić. Learn here more about the project in non-technical
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environment. Visible homelessness, such as encampments, is frequently seen as detrimental to cities’ public image. In response, public authorities are increasingly introducing laws and regulations
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seen as detrimental to cities’ public image. In response, public authorities are increasingly introducing laws and regulations that criminalise homelessness, prohibiting behaviours that homeless
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of the prototype needs to be defined in such way that the proof of concept is demonstrated. The prototyping needs to include InP and CMOS chips, as well as integrated solution. The characterization of the prototype
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addition, this material needs to have certain physical and chemical properties to ensure both biocompatibility and good contrast for real-time imaging during the procedure. The goal of this project
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to wasted resources and suboptimal patient outcomes. It encompasses a range of practices, including unnecessary prescriptions, diagnostic tests, imaging, screenings, and medical procedures, all of which