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platform , published in Nature Communications (https://www.nature.com/articles/s41467-020-18059-7), that enables localized, hyper-efficient delivery of therapeutic compounds to specific brain regions
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CAD, optomechatronic system integration, repeatable image acquisition, and computer-vision-based image analysis. Job description Develop the existing functional prototype into a robust, user-friendly
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related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental
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system developments. Contribute to the co-supervision of MSc and BSc students working on related research topics. Profile You will have: PhD in Computer Science or any related field. The successful
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Gallery and the EuroTube Foundation. Profile A Master’s degree in civil engineering, geomatics, computer science, or a related field A strong background in machine learning, computer vision, or 3D
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edge of innovation, driving impact within a world-class tech stack. Profile Must-haves: A bachelor’s degree or higher in computer engineering, computer science, a relevant technical field, or
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, biology, computer, and data science. We seek a motivated scientific assistant to join this growing team and contribute to interdisciplinary research partnerships. Project background The Biomedical
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degree in computer science, mathematics, statistics, or similar; candidates with a degree in (any) sports and a strong computational leaning are equally welcome Enthusiasm for data and sports
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social science. At ease with computer skills, quick adaptation to operating new software, and performing basic analysis in excel You have Some experience with administration / event management Excellent
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, engineering, computer science, or comparable fields Several years of experience in research data management In-depth knowledge of FAIR principles, open science standards, and regulatory requirements