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. These differences are partly driven by genetic variation, which influences cellular pathways involved in toxicity. Understanding this variation is essential for developing future safety testing strategies
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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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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
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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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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
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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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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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; 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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. Through this position, which will be embedded in the department of Animal Sciences, we aim to strengthen our research aimed at understanding molecular, cellular and genetic mechanisms underlying human