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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
, recreation and professional opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
, recreation and professional opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | 19 days ago
, implement, and validate optimization-based mission planning, task allocation, trajectory coordination, and control algorithms for heterogeneous multi-robot systems Integrate developed methods with robotic
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project consists in the development algorithms for the indirect estimation
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analyse observational/real world data to develop mapping algorithms between health outcomes (such as EQ-5D) and measures of wellbeing/independence. You will apply these mapping algorithms to expenditure
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of algorithms for synthetic aperture radar signal processing to monitor Earth's surface deformation using multi-platform acquisition systems. Where to apply Website https://selezionionline.cnr.it Requirements
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and the Faculty of Physics. We are seeking a highly qualified researcher with a strong background in tensor network methods, in particular the development of numerical tensor network algorithms, and
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University invites applications for a tenure-track position at the Assistant Professor level in quantum information science beginning in August 2027. Applicants must demonstrate the potential for developing
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. The research will focus on: i) the theoretical formulation of multi-view constraints for quadrics and conics; ii) the development of robust algorithms for pose estimation, reconstruction and self-calibration