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improve overall task efficiency. Topics may include autonomous mission planning, resource-aware scheduling, multi-drone coordination, optimization-based decision-making, and integration of robotic
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projects. 9. The position being advertised will perform the following specific duties: a) Implementation and optimization of assisted reproduction protocols, including techniques for gamete collection and
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-dovrolis.html https://www.tudelft.nl/en/eemcs/the-faculty/departments/software-technology/networked-systems N. Mhaisen, G. Iosifidis, On the Dynamic Regret of Following the Regularized Leader: Optimism with
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environment. Key research Objectives: AI Innovation (Taxonomic Identification): Developing and optimizing deep-learning architectures (e.g., YOLO) for the automated detection and classification of nocturnal
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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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NTNU and the application process here. About the position This PhD position will be hosted at the Department of Engineering Cybernetics (ITK), holding peak competences in decision-making, optimization
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, optimization, control, and AI for cyber-physical systems. The position will be part of the research center Northwind, be closely integrated with the activities of the Norwegian Center on AI for Decision (aiD
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learning optimization at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position is supported by the EU Horizon project CIRES and offers the opportunity
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(ITK), holding peak competences in decision-making, optimization, control, and AI for cyber-physical systems. The position will be part of the research center Northwind, be closely integrated with
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peak competences in decision-making, optimization, control, and AI for cyber-physical systems. The position will be part of the research centre the Norwegian Center on AI for Decision (aiD) cooperating