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, including bioacoustics algorithms developed in the team. What you will do Conducting rigorous research at the intersection of ML and wildlife bioacoustics; Actively participating in regular group and one
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the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish
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( STAR ) and the Automated Design of Algorithms ( ADA ) research groups. Moreover, there are plenty of opportunities for interaction and collaboration with other groups at the institute and internationally
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be eligible for a substantial tax break. More at https://www.universiteitleiden.nl/en/working-at/job-application-procedu… . Starting date: after January 2027; exact date to be determined by mutual
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(Automated Design of Algorithms) group in the machine learning clusters at LIACS, Leiden University, and supervised by Jan van Rijn and Holger Hoos. You will be working intensely with other project members
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; Develop novel algorithms for adapting and specialising visual foundation models; Publish research findings at leading machine learning and computer vision venues such as CVPR, ICCV, ECCV, NeurIPS, and ICLR
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can find more information about the Faculty of Science at https://www.universiteitleiden.nl/en/science/about-faculty-of-science . For more information about working at Leiden university please visit
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research groups within The Netherlands, and many prominent labs abroad. You can find more information about the Faculty of Science at https://www.universiteitleiden.nl/en/science/about-faculty-of-science
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better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
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a laptop and a mobile telephone. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value