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-classical internet Quantum embeddings for machine learning Networked quantum sensing supported by distributed classical communication Prospective applicants to this PhD proposal should have the following
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activities of the IKE research group, but will, as part of the GreenTraC-project, also join a cross-organisational and interdisciplinary team working on developing and implementing machine learning and natural
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internet Quantum embeddings for machine learning Networked quantum sensing supported by distributed classical communication Prospective applicants to this PhD proposal should have the following
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converging operational research, machine learning, and decision-making methodologies. The ultimate goal is to create real-time autonomous systems that are not only trustworthy but also adaptive in the face of
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activities of the IKE research group, but will, as part of the GreenTraC-project, also join a cross-organisational and interdisciplinary team working on developing and implementing machine learning and natural
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with sensor data processing, AI, machine learning, and software development. As the position covers a broad scope– from sensor data acquisition to AI model development– we are open to considering
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with 15 researchers at various career levels with a high expertise within molecular methods development, bioinformatics and machine learning. Furthermore, the position will be anchored in the Center
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candidate will be part of the Albertsen lab with 15 researchers at various career levels with a high expertise within molecular methods development, bioinformatics and machine learning. Furthermore
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"Offshore Drone and Robotics" and the PhD Student will be positioned in the“Esbjerg Energy Section”. The position is offered in connection with the U-SHIELD project which aims to develop an automatic
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We are seeking applicants conducting research in the areas of statistics, machine learning, and artificial intelligence, with a particular focus on quantifying uncertainty in dynamic systems and