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Job Description Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have
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the responsibilities and qualifications stated above and the following general criteria: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized
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. Experience with simulation tools, including Isaac Gym, Isaac Sim, Aerial Gym. Experience with ROS, and especially real-life aerial robots. Experience with open-source tools for deep learning, computer vision
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embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech distributed and embedded systems
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? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Ph.D.-student. Read on to learn more! About the PhD program - Closed Loop
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? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Ph.D.-student. Read on to learn more! About the PhD program - Closed Loop
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tailored specifically to the particularities of TCR interactions. As part of the Deep Immune Receptor Modeling (DIRM) grant from the NNF Data Science Collaborative Research Programme, this PhD position will
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its