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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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their application documents, a one-page statement, indicating their vision for research to be conducted in relation to the project topics outlined above. Other relevant documents The application must be submitted via
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for three years from March 1st , 2026. Project description The advertised PhD position forms part of a competence network supported by the EU Interreg-6a funding scheme between Germany and Denmark. The vision
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criteria: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal impact Innovativeness, including commercialization and
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teaching - sustainable and value-creating solutions in the area of food and health for the benefit of society. The vision is to make a difference by generating future prosperity through research into food
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Health Tech With a vision to improve health and
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of teaching Research vision and potential International impact and experience Societal impact Innovativeness, including commercialization and collaboration with industry Leadership, collaboration, and
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conducted on qualified candidates 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
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
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 utilizing real-time data