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Field
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. Diversity Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is
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of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful . We believe that an organization that is
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collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful . We believe that an organization that is equal, diverse and gender-balanced
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments
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With a vision to improve health and quality of life through technology, DTU Health Tech engages in research, education, and innovation based on technical and natural science. We educate tomorrow’s health
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for the position. DTU Health Tech With a vision to improve health and quality of life through technology, DTU Health Tech engages in research, education, and innovation based on technical and natural science. We
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful . We believe that an organization that is equal, diverse and gender-balanced
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strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep